{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}F:\research, journal papers\US military intervention and media effect with Jenifer\replication materials\do and log-file\Human Rights Institutionalization, log-file.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}10 Apr 2020, 13:45:51

{com}. do "F:\research, journal papers\US military intervention and media effect with Jenifer\replication materials\do and log-file\Human Rights Institutionalization, do-file.do"
{txt}
{com}. * April 10, 2020
. * Human Rights Institutionalization 
. 
. set matsize 240
{txt}
{com}. set more off
{txt}
{com}. 
. use "F:\research, journal papers\US military intervention and media effect with Jenifer\replication materials\data\HRinstitutionalization.dta", clear
{txt}
{com}. 
. 
. ******************* Table 1 *******************
. sum usintervene_human1 state latentmean physint amnesty nythr avmdia state_nythr senate_score senate_nythr usintervene_human polity2 log_gdppc us_allied us_distance_logged coldwar oil_petroleum military onset2cv410 americas europe africa middleeast asia oceanania 

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
usinterven~1 {c |}{res}      3,500    .0097143    .0980952          0          1
{txt}{space 7}state {c |}{res}      3,500    2.476857    1.159121          1          5
{txt}{space 2}latentmean {c |}{res}      3,500    .1047089    1.255869  -2.839278   3.949144
{txt}{space 5}physint {c |}{res}      3,193    4.769496    2.340685          0          8
{txt}{space 5}amnesty {c |}{res}      2,967    2.772497    1.090855          1          5
{txt}{hline 13}{c +}{hline 57}
{space 7}nythr {c |}{res}      3,500    15.52229    17.17414          0        188
{txt}{space 6}avmdia {c |}{res}      2,115    .3617021    1.184554          0       25.5
{txt}{space 1}state_nythr {c |}{res}      3,500    43.16886    59.35627          0        575
{txt}senate_score {c |}{res}      3,500    4.612286    4.886388          0         12
{txt}senate_nythr {c |}{res}      3,500    71.10714    128.4404          0       1100
{txt}{hline 13}{c +}{hline 57}
usinterven~n {c |}{res}      3,500        .008     .089097          0          1
{txt}{space 5}polity2 {c |}{res}      3,500       1.112     7.34532        -10         10
{txt}{space 3}log_gdppc {c |}{res}      3,500    9.002159    1.156963   5.832184   11.55612
{txt}{space 3}us_allied {c |}{res}      3,500    .2334286    .4230731          0          1
{txt}us_distanc~d {c |}{res}      3,500    9.134025    1.148809          0   9.920443
{txt}{hline 13}{c +}{hline 57}
{space 5}coldwar {c |}{res}      3,500        .606    .4887047          0          1
{txt}oil_petrol~m {c |}{res}      1,655     65.8864    255.5314       -105       1980
{txt}{space 4}military {c |}{res}      3,278    52.96534    302.8929          0     3615.9
{txt}{space 1}onset2cv410 {c |}{res}      3,473    .0365678    .1877252          0          1
{txt}{space 4}americas {c |}{res}      3,500    .1711429    .3766876          0          1
{txt}{hline 13}{c +}{hline 57}
{space 6}europe {c |}{res}      3,500    .2102857    .4075697          0          1
{txt}{space 6}africa {c |}{res}      3,500    .3305714    .4704861          0          1
{txt}{space 2}middleeast {c |}{res}      3,500    .0908571    .2874469          0          1
{txt}{space 8}asia {c |}{res}      3,500         .16    .3666584          0          1
{txt}{space 3}oceanania {c |}{res}      3,500    .0331429    .1790351          0          1
{txt}
{com}. 
. 
. ******************* Table 2 *******************
. logit usintervene_human1 state nythr usintervene_human, cluster(ccode)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-191.39568}  
Iteration 1:{space 3}log pseudolikelihood = {res:-153.94752}  
Iteration 2:{space 3}log pseudolikelihood = {res:-137.06687}  
Iteration 3:{space 3}log pseudolikelihood = {res:-135.02905}  
Iteration 4:{space 3}log pseudolikelihood = {res:-134.99826}  
Iteration 5:{space 3}log pseudolikelihood = {res:-134.99823}  
Iteration 6:{space 3}log pseudolikelihood = {res:-134.99823}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     3,500
{txt}{col 49}Wald chi2({res}3{txt}){col 67}= {res}    106.17
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-134.99823{txt}{col 49}Pseudo R2{col 67}= {res}    0.2947

{txt}{ralign 84:(Std. Err. adjusted for {res:157} clusters in ccode)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}usintervene_human1{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}state {c |}{col 20}{res}{space 2}  .749604{col 32}{space 2} .1504082{col 43}{space 1}    4.98{col 52}{space 3}0.000{col 60}{space 4} .4548093{col 73}{space 3} 1.044399
{txt}{space 13}nythr {c |}{col 20}{res}{space 2} .0130641{col 32}{space 2} .0071332{col 43}{space 1}    1.83{col 52}{space 3}0.067{col 60}{space 4}-.0009168{col 73}{space 3}  .027045
{txt}{space 1}usintervene_human {c |}{col 20}{res}{space 2} 4.056679{col 32}{space 2} .4944402{col 43}{space 1}    8.20{col 52}{space 3}0.000{col 60}{space 4} 3.087594{col 73}{space 3} 5.025764
{txt}{space 13}_cons {c |}{col 20}{res}{space 2}-7.630204{col 32}{space 2} .6153019{col 43}{space 1}  -12.40{col 52}{space 3}0.000{col 60}{space 4}-8.836173{col 73}{space 3}-6.424234
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.  est store mod1
{txt}
{com}. logit usintervene_human1 state nythr usintervene_human americas africa middleeast asia oceanania, cluster(ccode)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-191.39568}  
Iteration 1:{space 3}log pseudolikelihood = {res: -153.7567}  
Iteration 2:{space 3}log pseudolikelihood = {res:-136.17872}  
Iteration 3:{space 3}log pseudolikelihood = {res:-133.74063}  
Iteration 4:{space 3}log pseudolikelihood = {res:-133.67381}  
Iteration 5:{space 3}log pseudolikelihood = {res:-133.67359}  
Iteration 6:{space 3}log pseudolikelihood = {res:-133.67359}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     3,500
{txt}{col 49}Wald chi2({res}8{txt}){col 67}= {res}    161.20
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-133.67359{txt}{col 49}Pseudo R2{col 67}= {res}    0.3016

{txt}{ralign 84:(Std. Err. adjusted for {res:157} clusters in ccode)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}usintervene_human1{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}state {c |}{col 20}{res}{space 2} .8125677{col 32}{space 2} .1827952{col 43}{space 1}    4.45{col 52}{space 3}0.000{col 60}{space 4} .4542958{col 73}{space 3}  1.17084
{txt}{space 13}nythr {c |}{col 20}{res}{space 2} .0101748{col 32}{space 2} .0067568{col 43}{space 1}    1.51{col 52}{space 3}0.132{col 60}{space 4}-.0030683{col 73}{space 3} .0234179
{txt}{space 1}usintervene_human {c |}{col 20}{res}{space 2} 4.111192{col 32}{space 2} .4829512{col 43}{space 1}    8.51{col 52}{space 3}0.000{col 60}{space 4} 3.164625{col 73}{space 3} 5.057759
{txt}{space 10}americas {c |}{col 20}{res}{space 2} .1550082{col 32}{space 2} .7975474{col 43}{space 1}    0.19{col 52}{space 3}0.846{col 60}{space 4}-1.408156{col 73}{space 3} 1.718172
{txt}{space 12}africa {c |}{col 20}{res}{space 2}-.2407103{col 32}{space 2} .7649536{col 43}{space 1}   -0.31{col 52}{space 3}0.753{col 60}{space 4}-1.739992{col 73}{space 3} 1.258571
{txt}{space 8}middleeast {c |}{col 20}{res}{space 2} .1478698{col 32}{space 2} .7899326{col 43}{space 1}    0.19{col 52}{space 3}0.852{col 60}{space 4} -1.40037{col 73}{space 3} 1.696109
{txt}{space 14}asia {c |}{col 20}{res}{space 2} .4917182{col 32}{space 2} .7449877{col 43}{space 1}    0.66{col 52}{space 3}0.509{col 60}{space 4}-.9684309{col 73}{space 3} 1.951867
{txt}{space 9}oceanania {c |}{col 20}{res}{space 2} 1.322606{col 32}{space 2} .8474582{col 43}{space 1}    1.56{col 52}{space 3}0.119{col 60}{space 4}-.3383814{col 73}{space 3} 2.983594
{txt}{space 13}_cons {c |}{col 20}{res}{space 2}-7.914934{col 32}{space 2} .7521281{col 43}{space 1}  -10.52{col 52}{space 3}0.000{col 60}{space 4}-9.389078{col 73}{space 3} -6.44079
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.  est store mod2
{txt}
{com}. logit usintervene_human1 state nythr state_nythr senate_score senate_nythr polity2 log_gdppc us_allied us_distance_logged coldwar usintervene_human, cluster(ccode)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-191.39568}  
Iteration 1:{space 3}log pseudolikelihood = {res:-152.87559}  
Iteration 2:{space 3}log pseudolikelihood = {res:-134.98838}  
Iteration 3:{space 3}log pseudolikelihood = {res:-131.99043}  
Iteration 4:{space 3}log pseudolikelihood = {res:-131.92503}  
Iteration 5:{space 3}log pseudolikelihood = {res:-131.92502}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     3,500
{txt}{col 49}Wald chi2({res}11{txt}){col 67}= {res}    158.67
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-131.92502{txt}{col 49}Pseudo R2{col 67}= {res}    0.3107

{txt}{ralign 84:(Std. Err. adjusted for {res:157} clusters in ccode)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}usintervene_human1{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}state {c |}{col 20}{res}{space 2}  .692235{col 32}{space 2} .2244909{col 43}{space 1}    3.08{col 52}{space 3}0.002{col 60}{space 4}  .252241{col 73}{space 3} 1.132229
{txt}{space 13}nythr {c |}{col 20}{res}{space 2} .0090742{col 32}{space 2} .0179088{col 43}{space 1}    0.51{col 52}{space 3}0.612{col 60}{space 4}-.0260263{col 73}{space 3} .0441748
{txt}{space 7}state_nythr {c |}{col 20}{res}{space 2} .0020798{col 32}{space 2} .0062001{col 43}{space 1}    0.34{col 52}{space 3}0.737{col 60}{space 4}-.0100722{col 73}{space 3} .0142318
{txt}{space 6}senate_score {c |}{col 20}{res}{space 2} -.076271{col 32}{space 2} .0593538{col 43}{space 1}   -1.29{col 52}{space 3}0.199{col 60}{space 4}-.1926023{col 73}{space 3} .0400602
{txt}{space 6}senate_nythr {c |}{col 20}{res}{space 2} .0001451{col 32}{space 2} .0017529{col 43}{space 1}    0.08{col 52}{space 3}0.934{col 60}{space 4}-.0032906{col 73}{space 3} .0035808
{txt}{space 11}polity2 {c |}{col 20}{res}{space 2} .0510875{col 32}{space 2}  .037857{col 43}{space 1}    1.35{col 52}{space 3}0.177{col 60}{space 4}-.0231109{col 73}{space 3} .1252858
{txt}{space 9}log_gdppc {c |}{col 20}{res}{space 2}-.3339508{col 32}{space 2} .2457966{col 43}{space 1}   -1.36{col 52}{space 3}0.174{col 60}{space 4}-.8157033{col 73}{space 3} .1478018
{txt}{space 9}us_allied {c |}{col 20}{res}{space 2}-.0843423{col 32}{space 2} .5513258{col 43}{space 1}   -0.15{col 52}{space 3}0.878{col 60}{space 4}-1.164921{col 73}{space 3} .9962364
{txt}us_distance_logged {c |}{col 20}{res}{space 2} .0478272{col 32}{space 2} .1549722{col 43}{space 1}    0.31{col 52}{space 3}0.758{col 60}{space 4}-.2559126{col 73}{space 3} .3515671
{txt}{space 11}coldwar {c |}{col 20}{res}{space 2}-.3001774{col 32}{space 2} .4348371{col 43}{space 1}   -0.69{col 52}{space 3}0.490{col 60}{space 4}-1.152442{col 73}{space 3} .5520876
{txt}{space 1}usintervene_human {c |}{col 20}{res}{space 2} 3.755163{col 32}{space 2} .4939505{col 43}{space 1}    7.60{col 52}{space 3}0.000{col 60}{space 4} 2.787038{col 73}{space 3} 4.723288
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} -4.60012{col 32}{space 2} 3.377363{col 43}{space 1}   -1.36{col 52}{space 3}0.173{col 60}{space 4}-11.21963{col 73}{space 3}  2.01939
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.  est store mod3
{txt}
{com}. logit usintervene_human1 state nythr state_nythr senate_score senate_nythr polity2 log_gdppc us_allied us_distance_logged coldwar usintervene_human americas africa middleeast asia oceanania, cluster(ccode)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-191.39568}  
Iteration 1:{space 3}log pseudolikelihood = {res:-152.64285}  
Iteration 2:{space 3}log pseudolikelihood = {res:-133.82829}  
Iteration 3:{space 3}log pseudolikelihood = {res:-130.01832}  
Iteration 4:{space 3}log pseudolikelihood = {res:-129.91324}  
Iteration 5:{space 3}log pseudolikelihood = {res:-129.91311}  
Iteration 6:{space 3}log pseudolikelihood = {res:-129.91311}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     3,500
{txt}{col 49}Wald chi2({res}16{txt}){col 67}= {res}    241.77
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-129.91311{txt}{col 49}Pseudo R2{col 67}= {res}    0.3212

{txt}{ralign 84:(Std. Err. adjusted for {res:157} clusters in ccode)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}usintervene_human1{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}state {c |}{col 20}{res}{space 2}  .721259{col 32}{space 2} .2521068{col 43}{space 1}    2.86{col 52}{space 3}0.004{col 60}{space 4} .2271388{col 73}{space 3} 1.215379
{txt}{space 13}nythr {c |}{col 20}{res}{space 2}  .010139{col 32}{space 2} .0200516{col 43}{space 1}    0.51{col 52}{space 3}0.613{col 60}{space 4}-.0291613{col 73}{space 3} .0494393
{txt}{space 7}state_nythr {c |}{col 20}{res}{space 2} .0012569{col 32}{space 2} .0066124{col 43}{space 1}    0.19{col 52}{space 3}0.849{col 60}{space 4}-.0117033{col 73}{space 3}  .014217
{txt}{space 6}senate_score {c |}{col 20}{res}{space 2}-.0741559{col 32}{space 2} .0560112{col 43}{space 1}   -1.32{col 52}{space 3}0.186{col 60}{space 4}-.1839359{col 73}{space 3} .0356241
{txt}{space 6}senate_nythr {c |}{col 20}{res}{space 2}-5.44e-06{col 32}{space 2} .0017418{col 43}{space 1}   -0.00{col 52}{space 3}0.998{col 60}{space 4}-.0034193{col 73}{space 3} .0034085
{txt}{space 11}polity2 {c |}{col 20}{res}{space 2} .0459665{col 32}{space 2} .0372053{col 43}{space 1}    1.24{col 52}{space 3}0.217{col 60}{space 4}-.0269545{col 73}{space 3} .1188876
{txt}{space 9}log_gdppc {c |}{col 20}{res}{space 2}-.5582499{col 32}{space 2} .3261098{col 43}{space 1}   -1.71{col 52}{space 3}0.087{col 60}{space 4}-1.197413{col 73}{space 3} .0809135
{txt}{space 9}us_allied {c |}{col 20}{res}{space 2}  -.17772{col 32}{space 2}  .449066{col 43}{space 1}   -0.40{col 52}{space 3}0.692{col 60}{space 4}-1.057873{col 73}{space 3} .7024332
{txt}us_distance_logged {c |}{col 20}{res}{space 2}-.0153156{col 32}{space 2} .1228481{col 43}{space 1}   -0.12{col 52}{space 3}0.901{col 60}{space 4}-.2560935{col 73}{space 3} .2254623
{txt}{space 11}coldwar {c |}{col 20}{res}{space 2}-.2681747{col 32}{space 2} .4315301{col 43}{space 1}   -0.62{col 52}{space 3}0.534{col 60}{space 4}-1.113958{col 73}{space 3} .5776087
{txt}{space 1}usintervene_human {c |}{col 20}{res}{space 2} 3.770399{col 32}{space 2} .5058516{col 43}{space 1}    7.45{col 52}{space 3}0.000{col 60}{space 4} 2.778948{col 73}{space 3}  4.76185
{txt}{space 10}americas {c |}{col 20}{res}{space 2} .0656976{col 32}{space 2} .7196641{col 43}{space 1}    0.09{col 52}{space 3}0.927{col 60}{space 4}-1.344818{col 73}{space 3} 1.476213
{txt}{space 12}africa {c |}{col 20}{res}{space 2}-.7782496{col 32}{space 2}  .931509{col 43}{space 1}   -0.84{col 52}{space 3}0.403{col 60}{space 4}-2.603974{col 73}{space 3} 1.047475
{txt}{space 8}middleeast {c |}{col 20}{res}{space 2} .1654043{col 32}{space 2} .8062194{col 43}{space 1}    0.21{col 52}{space 3}0.837{col 60}{space 4}-1.414757{col 73}{space 3} 1.745565
{txt}{space 14}asia {c |}{col 20}{res}{space 2}  .229293{col 32}{space 2} .8470062{col 43}{space 1}    0.27{col 52}{space 3}0.787{col 60}{space 4}-1.430809{col 73}{space 3} 1.889395
{txt}{space 9}oceanania {c |}{col 20}{res}{space 2} 1.187049{col 32}{space 2} .9054269{col 43}{space 1}    1.31{col 52}{space 3}0.190{col 60}{space 4}-.5875551{col 73}{space 3} 2.961653
{txt}{space 13}_cons {c |}{col 20}{res}{space 2}-2.044607{col 32}{space 2} 3.997125{col 43}{space 1}   -0.51{col 52}{space 3}0.609{col 60}{space 4}-9.878828{col 73}{space 3} 5.789614
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.  est store mod4
{txt}
{com}. esttab mod*, b(3) se(3) stats(N ll r2) keep(state nythr state_nythr senate_score senate_nythr polity2 log_gdppc us_allied us_distance_logged coldwar americas africa middleeast asia oceanania _cons)
{res}
{txt}{hline 76}
{txt}                      (1)             (2)             (3)             (4)   
{txt}             usinterven~1    usinterven~1    usinterven~1    usinterven~1   
{txt}{hline 76}
{res}usinterven~1                                                                {txt}
{txt}state       {res}        0.750***        0.813***        0.692**         0.721** {txt}
            {res} {ralign 12:{txt:(}0.150{txt:)}}    {ralign 12:{txt:(}0.183{txt:)}}    {ralign 12:{txt:(}0.224{txt:)}}    {ralign 12:{txt:(}0.252{txt:)}}   {txt}

{txt}nythr       {res}        0.013           0.010           0.009           0.010   {txt}
            {res} {ralign 12:{txt:(}0.007{txt:)}}    {ralign 12:{txt:(}0.007{txt:)}}    {ralign 12:{txt:(}0.018{txt:)}}    {ralign 12:{txt:(}0.020{txt:)}}   {txt}

{txt}americas    {res}                        0.155                           0.066   {txt}
            {res}                 {ralign 12:{txt:(}0.798{txt:)}}                    {ralign 12:{txt:(}0.720{txt:)}}   {txt}

{txt}africa      {res}                       -0.241                          -0.778   {txt}
            {res}                 {ralign 12:{txt:(}0.765{txt:)}}                    {ralign 12:{txt:(}0.932{txt:)}}   {txt}

{txt}middleeast  {res}                        0.148                           0.165   {txt}
            {res}                 {ralign 12:{txt:(}0.790{txt:)}}                    {ralign 12:{txt:(}0.806{txt:)}}   {txt}

{txt}asia        {res}                        0.492                           0.229   {txt}
            {res}                 {ralign 12:{txt:(}0.745{txt:)}}                    {ralign 12:{txt:(}0.847{txt:)}}   {txt}

{txt}oceanania   {res}                        1.323                           1.187   {txt}
            {res}                 {ralign 12:{txt:(}0.847{txt:)}}                    {ralign 12:{txt:(}0.905{txt:)}}   {txt}

{txt}state_nythr {res}                                        0.002           0.001   {txt}
            {res}                                 {ralign 12:{txt:(}0.006{txt:)}}    {ralign 12:{txt:(}0.007{txt:)}}   {txt}

{txt}senate_score{res}                                       -0.076          -0.074   {txt}
            {res}                                 {ralign 12:{txt:(}0.059{txt:)}}    {ralign 12:{txt:(}0.056{txt:)}}   {txt}

{txt}senate_nythr{res}                                        0.000          -0.000   {txt}
            {res}                                 {ralign 12:{txt:(}0.002{txt:)}}    {ralign 12:{txt:(}0.002{txt:)}}   {txt}

{txt}polity2     {res}                                        0.051           0.046   {txt}
            {res}                                 {ralign 12:{txt:(}0.038{txt:)}}    {ralign 12:{txt:(}0.037{txt:)}}   {txt}

{txt}log_gdppc   {res}                                       -0.334          -0.558   {txt}
            {res}                                 {ralign 12:{txt:(}0.246{txt:)}}    {ralign 12:{txt:(}0.326{txt:)}}   {txt}

{txt}us_allied   {res}                                       -0.084          -0.178   {txt}
            {res}                                 {ralign 12:{txt:(}0.551{txt:)}}    {ralign 12:{txt:(}0.449{txt:)}}   {txt}

{txt}us_distanc~d{res}                                        0.048          -0.015   {txt}
            {res}                                 {ralign 12:{txt:(}0.155{txt:)}}    {ralign 12:{txt:(}0.123{txt:)}}   {txt}

{txt}coldwar     {res}                                       -0.300          -0.268   {txt}
            {res}                                 {ralign 12:{txt:(}0.435{txt:)}}    {ralign 12:{txt:(}0.432{txt:)}}   {txt}

{txt}_cons       {res}       -7.630***       -7.915***       -4.600          -2.045   {txt}
            {res} {ralign 12:{txt:(}0.615{txt:)}}    {ralign 12:{txt:(}0.752{txt:)}}    {ralign 12:{txt:(}3.377{txt:)}}    {ralign 12:{txt:(}3.997{txt:)}}   {txt}
{txt}{hline 76}
{txt}N           {res}     3500.000        3500.000        3500.000        3500.000   {txt}
{txt}ll          {res}     -134.998        -133.674        -131.925        -129.913   {txt}
{txt}r2          {res}                                                                {txt}
{txt}{hline 76}
{txt}Standard errors in parentheses
{txt}* p<0.05, ** p<0.01, *** p<0.001

{com}. estimates clear
{txt}
{com}. 
. 
. ******************* Table 3 *******************
. *logit with clustering
. logit usintervene_human1 state nythr state_nythr senate_score senate_nythr polity2 log_gdppc us_allied us_distance_logged usintervene_human oil_petroleum military onset2cv410, cluster(ccode)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-89.081498}  
Iteration 1:{space 3}log pseudolikelihood = {res:-71.437475}  
Iteration 2:{space 3}log pseudolikelihood = {res:-61.658568}  
Iteration 3:{space 3}log pseudolikelihood = {res:-56.839529}  
Iteration 4:{space 3}log pseudolikelihood = {res:-55.779914}  
Iteration 5:{space 3}log pseudolikelihood = {res:-55.623761}  
Iteration 6:{space 3}log pseudolikelihood = {res:-55.619844}  
Iteration 7:{space 3}log pseudolikelihood = {res:-55.619838}  
Iteration 8:{space 3}log pseudolikelihood = {res:-55.619838}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     1,549
{txt}{col 49}Wald chi2({res}13{txt}){col 67}= {res}     93.88
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-55.619838{txt}{col 49}Pseudo R2{col 67}= {res}    0.3756

{txt}{ralign 84:(Std. Err. adjusted for {res:131} clusters in ccode)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}usintervene_human1{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}state {c |}{col 20}{res}{space 2} .8087339{col 32}{space 2} .3137907{col 43}{space 1}    2.58{col 52}{space 3}0.010{col 60}{space 4} .1937153{col 73}{space 3} 1.423752
{txt}{space 13}nythr {c |}{col 20}{res}{space 2} .0169876{col 32}{space 2} .0275051{col 43}{space 1}    0.62{col 52}{space 3}0.537{col 60}{space 4}-.0369213{col 73}{space 3} .0708965
{txt}{space 7}state_nythr {c |}{col 20}{res}{space 2} .0090394{col 32}{space 2} .0089476{col 43}{space 1}    1.01{col 52}{space 3}0.312{col 60}{space 4}-.0084975{col 73}{space 3} .0265763
{txt}{space 6}senate_score {c |}{col 20}{res}{space 2} .1566415{col 32}{space 2} .0973867{col 43}{space 1}    1.61{col 52}{space 3}0.108{col 60}{space 4} -.034233{col 73}{space 3} .3475159
{txt}{space 6}senate_nythr {c |}{col 20}{res}{space 2}-.0263063{col 32}{space 2} .0148565{col 43}{space 1}   -1.77{col 52}{space 3}0.077{col 60}{space 4}-.0554246{col 73}{space 3} .0028119
{txt}{space 11}polity2 {c |}{col 20}{res}{space 2} .0437386{col 32}{space 2} .0518296{col 43}{space 1}    0.84{col 52}{space 3}0.399{col 60}{space 4}-.0578456{col 73}{space 3} .1453227
{txt}{space 9}log_gdppc {c |}{col 20}{res}{space 2}-.2094651{col 32}{space 2} .1801286{col 43}{space 1}   -1.16{col 52}{space 3}0.245{col 60}{space 4}-.5625106{col 73}{space 3} .1435805
{txt}{space 9}us_allied {c |}{col 20}{res}{space 2} .0049579{col 32}{space 2} .8893764{col 43}{space 1}    0.01{col 52}{space 3}0.996{col 60}{space 4}-1.738188{col 73}{space 3} 1.748104
{txt}us_distance_logged {c |}{col 20}{res}{space 2} .7432201{col 32}{space 2} .9916664{col 43}{space 1}    0.75{col 52}{space 3}0.454{col 60}{space 4} -1.20041{col 73}{space 3} 2.686851
{txt}{space 1}usintervene_human {c |}{col 20}{res}{space 2} 3.462031{col 32}{space 2} .8585032{col 43}{space 1}    4.03{col 52}{space 3}0.000{col 60}{space 4} 1.779395{col 73}{space 3} 5.144666
{txt}{space 5}oil_petroleum {c |}{col 20}{res}{space 2} -.008175{col 32}{space 2} .0030279{col 43}{space 1}   -2.70{col 52}{space 3}0.007{col 60}{space 4}-.0141095{col 73}{space 3}-.0022405
{txt}{space 10}military {c |}{col 20}{res}{space 2}-.0030335{col 32}{space 2} .0020784{col 43}{space 1}   -1.46{col 52}{space 3}0.144{col 60}{space 4}-.0071071{col 73}{space 3}   .00104
{txt}{space 7}onset2cv410 {c |}{col 20}{res}{space 2} .4057695{col 32}{space 2} .9051021{col 43}{space 1}    0.45{col 52}{space 3}0.654{col 60}{space 4}-1.368198{col 73}{space 3} 2.179737
{txt}{space 13}_cons {c |}{col 20}{res}{space 2}-13.14917{col 32}{space 2} 10.30282{col 43}{space 1}   -1.28{col 52}{space 3}0.202{col 60}{space 4}-33.34233{col 73}{space 3}  7.04399
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 50 failures and 0 successes completely determined.{p_end}

{com}.  est store mod1
{txt}
{com}. logit usintervene_human1 state nythr state_nythr senate_score senate_nythr polity2 log_gdppc us_allied us_distance_logged usintervene_human oil_petroleum military onset2cv410 americas africa asia oceanania, cluster(ccode)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-89.081498}  
Iteration 1:{space 3}log pseudolikelihood = {res:  -70.6972}  
Iteration 2:{space 3}log pseudolikelihood = {res:-60.125241}  
Iteration 3:{space 3}log pseudolikelihood = {res:-53.830308}  
Iteration 4:{space 3}log pseudolikelihood = {res:-52.825086}  
Iteration 5:{space 3}log pseudolikelihood = {res:-52.725697}  
Iteration 6:{space 3}log pseudolikelihood = {res:-52.724613}  
Iteration 7:{space 3}log pseudolikelihood = {res:-52.724611}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     1,549
{txt}{col 49}Wald chi2({res}17{txt}){col 67}= {res}    115.92
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-52.724611{txt}{col 49}Pseudo R2{col 67}= {res}    0.4081

{txt}{ralign 84:(Std. Err. adjusted for {res:131} clusters in ccode)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}usintervene_human1{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}state {c |}{col 20}{res}{space 2} .9424037{col 32}{space 2} .3916179{col 43}{space 1}    2.41{col 52}{space 3}0.016{col 60}{space 4} .1748468{col 73}{space 3} 1.709961
{txt}{space 13}nythr {c |}{col 20}{res}{space 2} .0502192{col 32}{space 2} .0390564{col 43}{space 1}    1.29{col 52}{space 3}0.199{col 60}{space 4}-.0263298{col 73}{space 3} .1267683
{txt}{space 7}state_nythr {c |}{col 20}{res}{space 2}-.0015911{col 32}{space 2} .0116408{col 43}{space 1}   -0.14{col 52}{space 3}0.891{col 60}{space 4}-.0244067{col 73}{space 3} .0212245
{txt}{space 6}senate_score {c |}{col 20}{res}{space 2} .1665371{col 32}{space 2} .0946879{col 43}{space 1}    1.76{col 52}{space 3}0.079{col 60}{space 4}-.0190478{col 73}{space 3} .3521219
{txt}{space 6}senate_nythr {c |}{col 20}{res}{space 2}-.0280008{col 32}{space 2} .0135933{col 43}{space 1}   -2.06{col 52}{space 3}0.039{col 60}{space 4}-.0546433{col 73}{space 3}-.0013584
{txt}{space 11}polity2 {c |}{col 20}{res}{space 2} .0298978{col 32}{space 2}  .049638{col 43}{space 1}    0.60{col 52}{space 3}0.547{col 60}{space 4}-.0673909{col 73}{space 3} .1271865
{txt}{space 9}log_gdppc {c |}{col 20}{res}{space 2}-.6491123{col 32}{space 2} .4554576{col 43}{space 1}   -1.43{col 52}{space 3}0.154{col 60}{space 4}-1.541793{col 73}{space 3} .2435682
{txt}{space 9}us_allied {c |}{col 20}{res}{space 2}-.1857854{col 32}{space 2} .7732342{col 43}{space 1}   -0.24{col 52}{space 3}0.810{col 60}{space 4}-1.701296{col 73}{space 3} 1.329726
{txt}us_distance_logged {c |}{col 20}{res}{space 2}-.4282724{col 32}{space 2} .5648005{col 43}{space 1}   -0.76{col 52}{space 3}0.448{col 60}{space 4}-1.535261{col 73}{space 3} .6787163
{txt}{space 1}usintervene_human {c |}{col 20}{res}{space 2} 3.366156{col 32}{space 2} .8489966{col 43}{space 1}    3.96{col 52}{space 3}0.000{col 60}{space 4} 1.702153{col 73}{space 3} 5.030159
{txt}{space 5}oil_petroleum {c |}{col 20}{res}{space 2}-.0055001{col 32}{space 2} .0051839{col 43}{space 1}   -1.06{col 52}{space 3}0.289{col 60}{space 4}-.0156604{col 73}{space 3} .0046602
{txt}{space 10}military {c |}{col 20}{res}{space 2}-.0024846{col 32}{space 2}  .001871{col 43}{space 1}   -1.33{col 52}{space 3}0.184{col 60}{space 4}-.0061516{col 73}{space 3} .0011824
{txt}{space 7}onset2cv410 {c |}{col 20}{res}{space 2} .3043565{col 32}{space 2} .9693375{col 43}{space 1}    0.31{col 52}{space 3}0.754{col 60}{space 4} -1.59551{col 73}{space 3} 2.204223
{txt}{space 10}americas {c |}{col 20}{res}{space 2}-.2736716{col 32}{space 2}  1.09282{col 43}{space 1}   -0.25{col 52}{space 3}0.802{col 60}{space 4}-2.415559{col 73}{space 3} 1.868216
{txt}{space 12}africa {c |}{col 20}{res}{space 2}-1.146587{col 32}{space 2} 1.267011{col 43}{space 1}   -0.90{col 52}{space 3}0.365{col 60}{space 4}-3.629884{col 73}{space 3} 1.336709
{txt}{space 14}asia {c |}{col 20}{res}{space 2} 1.047811{col 32}{space 2} .8465172{col 43}{space 1}    1.24{col 52}{space 3}0.216{col 60}{space 4}-.6113319{col 73}{space 3} 2.706955
{txt}{space 9}oceanania {c |}{col 20}{res}{space 2} 2.387284{col 32}{space 2} 1.183776{col 43}{space 1}    2.02{col 52}{space 3}0.044{col 60}{space 4} .0671257{col 73}{space 3} 4.707442
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} 1.071561{col 32}{space 2} 7.016805{col 43}{space 1}    0.15{col 52}{space 3}0.879{col 60}{space 4}-12.68112{col 73}{space 3} 14.82425
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 31 failures and 0 successes completely determined.{p_end}

{com}.  est store mod2
{txt}
{com}. *peace years 
. drop py _spline* 
{txt}
{com}. btscs usintervene_human1 year ccode, gen(py) nspline(1) 
{txt}
{com}. sort ccode year 
{txt}
{com}. logit usintervene_human1       state nythr state_nythr senate_score senate_nythr polity2 log_gdppc us_allied us_distance_logged oil_petroleum military onset2cv410 py _spline*, cluster(ccode) 

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-89.081498}  
Iteration 1:{space 3}log pseudolikelihood = {res:-75.797789}  
Iteration 2:{space 3}log pseudolikelihood = {res:-64.453315}  
Iteration 3:{space 3}log pseudolikelihood = {res:-61.856424}  
Iteration 4:{space 3}log pseudolikelihood = {res:-61.139773}  
Iteration 5:{space 3}log pseudolikelihood = {res:-61.085469}  
Iteration 6:{space 3}log pseudolikelihood = {res:-61.082892}  
Iteration 7:{space 3}log pseudolikelihood = {res:-61.082879}  
Iteration 8:{space 3}log pseudolikelihood = {res:-61.082879}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     1,549
{txt}{col 49}Wald chi2({res}14{txt}){col 67}= {res}     83.99
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-61.082879{txt}{col 49}Pseudo R2{col 67}= {res}    0.3143

{txt}{ralign 84:(Std. Err. adjusted for {res:131} clusters in ccode)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}usintervene_human1{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}state {c |}{col 20}{res}{space 2} .8825657{col 32}{space 2} .3112377{col 43}{space 1}    2.84{col 52}{space 3}0.005{col 60}{space 4}  .272551{col 73}{space 3}  1.49258
{txt}{space 13}nythr {c |}{col 20}{res}{space 2} .0214065{col 32}{space 2} .0277146{col 43}{space 1}    0.77{col 52}{space 3}0.440{col 60}{space 4}-.0329133{col 73}{space 3} .0757262
{txt}{space 7}state_nythr {c |}{col 20}{res}{space 2} .0080493{col 32}{space 2} .0086512{col 43}{space 1}    0.93{col 52}{space 3}0.352{col 60}{space 4}-.0089067{col 73}{space 3} .0250052
{txt}{space 6}senate_score {c |}{col 20}{res}{space 2} .1519384{col 32}{space 2} .1052829{col 43}{space 1}    1.44{col 52}{space 3}0.149{col 60}{space 4}-.0544123{col 73}{space 3} .3582891
{txt}{space 6}senate_nythr {c |}{col 20}{res}{space 2} -.026188{col 32}{space 2} .0144864{col 43}{space 1}   -1.81{col 52}{space 3}0.071{col 60}{space 4}-.0545807{col 73}{space 3} .0022047
{txt}{space 11}polity2 {c |}{col 20}{res}{space 2} .0622426{col 32}{space 2} .0554874{col 43}{space 1}    1.12{col 52}{space 3}0.262{col 60}{space 4}-.0465107{col 73}{space 3} .1709959
{txt}{space 9}log_gdppc {c |}{col 20}{res}{space 2}-.3105012{col 32}{space 2} .1831717{col 43}{space 1}   -1.70{col 52}{space 3}0.090{col 60}{space 4} -.669511{col 73}{space 3} .0485087
{txt}{space 9}us_allied {c |}{col 20}{res}{space 2} .4131868{col 32}{space 2} 1.001689{col 43}{space 1}    0.41{col 52}{space 3}0.680{col 60}{space 4}-1.550087{col 73}{space 3} 2.376461
{txt}us_distance_logged {c |}{col 20}{res}{space 2} .7642355{col 32}{space 2} 1.144704{col 43}{space 1}    0.67{col 52}{space 3}0.504{col 60}{space 4}-1.479343{col 73}{space 3} 3.007814
{txt}{space 5}oil_petroleum {c |}{col 20}{res}{space 2}-.0076914{col 32}{space 2} .0037971{col 43}{space 1}   -2.03{col 52}{space 3}0.043{col 60}{space 4}-.0151336{col 73}{space 3}-.0002493
{txt}{space 10}military {c |}{col 20}{res}{space 2}-.0040856{col 32}{space 2} .0029303{col 43}{space 1}   -1.39{col 52}{space 3}0.163{col 60}{space 4}-.0098288{col 73}{space 3} .0016577
{txt}{space 7}onset2cv410 {c |}{col 20}{res}{space 2} .3623819{col 32}{space 2} .7511781{col 43}{space 1}    0.48{col 52}{space 3}0.630{col 60}{space 4}  -1.1099{col 73}{space 3} 1.834664
{txt}{space 16}py {c |}{col 20}{res}{space 2}-.2094397{col 32}{space 2} .1793544{col 43}{space 1}   -1.17{col 52}{space 3}0.243{col 60}{space 4}-.5609679{col 73}{space 3} .1420885
{txt}{space 10}_spline1 {c |}{col 20}{res}{space 2}-.0007588{col 32}{space 2} .0006994{col 43}{space 1}   -1.08{col 52}{space 3}0.278{col 60}{space 4}-.0021296{col 73}{space 3}  .000612
{txt}{space 13}_cons {c |}{col 20}{res}{space 2}-11.32982{col 32}{space 2} 11.15543{col 43}{space 1}   -1.02{col 52}{space 3}0.310{col 60}{space 4}-33.19405{col 73}{space 3} 10.53441
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 48 failures and 0 successes completely determined.{p_end}

{com}.  est store mod3
{txt}
{com}. drop py _spline* 
{txt}
{com}. btscs usintervene_human1 year ccode, gen(py) nspline(1) 
{txt}
{com}. sort ccode year 
{txt}
{com}. logit usintervene_human1       state nythr state_nythr senate_score senate_nythr polity2 log_gdppc us_allied us_distance_logged oil_petroleum military onset2cv410 americas africa asia oceanania py _spline*, cluster(ccode) 

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-89.081498}  
Iteration 1:{space 3}log pseudolikelihood = {res:-74.055857}  
Iteration 2:{space 3}log pseudolikelihood = {res:-60.874612}  
Iteration 3:{space 3}log pseudolikelihood = {res:-58.436939}  
Iteration 4:{space 3}log pseudolikelihood = {res:-57.949582}  
Iteration 5:{space 3}log pseudolikelihood = {res:-57.909795}  
Iteration 6:{space 3}log pseudolikelihood = {res:-57.907152}  
Iteration 7:{space 3}log pseudolikelihood = {res: -57.90714}  
Iteration 8:{space 3}log pseudolikelihood = {res: -57.90714}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     1,549
{txt}{col 49}Wald chi2({res}18{txt}){col 67}= {res}     79.38
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res} -57.90714{txt}{col 49}Pseudo R2{col 67}= {res}    0.3500

{txt}{ralign 84:(Std. Err. adjusted for {res:131} clusters in ccode)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}usintervene_human1{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}state {c |}{col 20}{res}{space 2} 1.012963{col 32}{space 2} .3656731{col 43}{space 1}    2.77{col 52}{space 3}0.006{col 60}{space 4} .2962572{col 73}{space 3} 1.729669
{txt}{space 13}nythr {c |}{col 20}{res}{space 2} .0553521{col 32}{space 2} .0366466{col 43}{space 1}    1.51{col 52}{space 3}0.131{col 60}{space 4} -.016474{col 73}{space 3} .1271781
{txt}{space 7}state_nythr {c |}{col 20}{res}{space 2}-.0030427{col 32}{space 2} .0110473{col 43}{space 1}   -0.28{col 52}{space 3}0.783{col 60}{space 4}-.0246949{col 73}{space 3} .0186096
{txt}{space 6}senate_score {c |}{col 20}{res}{space 2} .1604103{col 32}{space 2} .0951636{col 43}{space 1}    1.69{col 52}{space 3}0.092{col 60}{space 4} -.026107{col 73}{space 3} .3469276
{txt}{space 6}senate_nythr {c |}{col 20}{res}{space 2}-.0270576{col 32}{space 2}  .012802{col 43}{space 1}   -2.11{col 52}{space 3}0.035{col 60}{space 4}-.0521491{col 73}{space 3}-.0019661
{txt}{space 11}polity2 {c |}{col 20}{res}{space 2} .0523372{col 32}{space 2} .0518529{col 43}{space 1}    1.01{col 52}{space 3}0.313{col 60}{space 4}-.0492925{col 73}{space 3} .1539669
{txt}{space 9}log_gdppc {c |}{col 20}{res}{space 2}-.8250074{col 32}{space 2} .5979893{col 43}{space 1}   -1.38{col 52}{space 3}0.168{col 60}{space 4}-1.997045{col 73}{space 3} .3470301
{txt}{space 9}us_allied {c |}{col 20}{res}{space 2} .3874166{col 32}{space 2} .8031954{col 43}{space 1}    0.48{col 52}{space 3}0.630{col 60}{space 4}-1.186817{col 73}{space 3} 1.961651
{txt}us_distance_logged {c |}{col 20}{res}{space 2}-.4032579{col 32}{space 2} .7039584{col 43}{space 1}   -0.57{col 52}{space 3}0.567{col 60}{space 4}-1.782991{col 73}{space 3} .9764753
{txt}{space 5}oil_petroleum {c |}{col 20}{res}{space 2}-.0049264{col 32}{space 2} .0060707{col 43}{space 1}   -0.81{col 52}{space 3}0.417{col 60}{space 4}-.0168248{col 73}{space 3} .0069719
{txt}{space 10}military {c |}{col 20}{res}{space 2}-.0038999{col 32}{space 2} .0028873{col 43}{space 1}   -1.35{col 52}{space 3}0.177{col 60}{space 4}-.0095589{col 73}{space 3} .0017591
{txt}{space 7}onset2cv410 {c |}{col 20}{res}{space 2} .3290644{col 32}{space 2} .8527745{col 43}{space 1}    0.39{col 52}{space 3}0.700{col 60}{space 4}-1.342343{col 73}{space 3} 2.000472
{txt}{space 10}americas {c |}{col 20}{res}{space 2}-.6841745{col 32}{space 2} 1.350411{col 43}{space 1}   -0.51{col 52}{space 3}0.612{col 60}{space 4}-3.330932{col 73}{space 3} 1.962583
{txt}{space 12}africa {c |}{col 20}{res}{space 2}-1.457899{col 32}{space 2} 1.678852{col 43}{space 1}   -0.87{col 52}{space 3}0.385{col 60}{space 4}-4.748389{col 73}{space 3} 1.832591
{txt}{space 14}asia {c |}{col 20}{res}{space 2} .7914833{col 32}{space 2} 1.211069{col 43}{space 1}    0.65{col 52}{space 3}0.513{col 60}{space 4}-1.582168{col 73}{space 3} 3.165134
{txt}{space 9}oceanania {c |}{col 20}{res}{space 2} 2.298139{col 32}{space 2} 1.041083{col 43}{space 1}    2.21{col 52}{space 3}0.027{col 60}{space 4} .2576532{col 73}{space 3} 4.338625
{txt}{space 16}py {c |}{col 20}{res}{space 2}-.1987908{col 32}{space 2} .2034819{col 43}{space 1}   -0.98{col 52}{space 3}0.329{col 60}{space 4} -.597608{col 73}{space 3} .2000264
{txt}{space 10}_spline1 {c |}{col 20}{res}{space 2}-.0007673{col 32}{space 2} .0007392{col 43}{space 1}   -1.04{col 52}{space 3}0.299{col 60}{space 4}-.0022161{col 73}{space 3} .0006815
{txt}{space 13}_cons {c |}{col 20}{res}{space 2}  3.53327{col 32}{space 2} 9.075372{col 43}{space 1}    0.39{col 52}{space 3}0.697{col 60}{space 4}-14.25413{col 73}{space 3} 21.32067
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 29 failures and 0 successes completely determined.{p_end}

{com}.  est store mod4
{txt}
{com}. *xtgee
. xtgee usintervene_human1       state nythr state_nythr senate_score senate_nythr polity2 log_gdppc us_allied us_distance_logged oil_petroleum military onset2cv410, family (binomial) link (logit) corr (ar1) force robust nolog 

{res}{txt}GEE population-averaged model                   Number of obs     = {res}     1,549
{txt}Group and time vars:            {res}ccode year      {txt}Number of groups  = {res}       131
{txt}Link:                                {res}logit      {txt}Obs per group:
Family:                           {res}binomial                    {txt}min = {res}         2
{txt}Correlation:                         {res}AR(1)                    {txt}avg = {res}      11.8
                                                              {txt}max = {res}        12
                                                {txt}Wald chi2({res}12{txt})     =  {res}    71.67
{txt}Scale parameter:                 {res}        1      {txt}Prob > chi2       =     {res}0.0000

{txt}{ralign 84:(Std. Err. adjusted for clustering on ccode)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}usintervene_human1{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}state {c |}{col 20}{res}{space 2} .9544081{col 32}{space 2} .3286792{col 43}{space 1}    2.90{col 52}{space 3}0.004{col 60}{space 4} .3102087{col 73}{space 3} 1.598608
{txt}{space 13}nythr {c |}{col 20}{res}{space 2} .0250954{col 32}{space 2} .0293381{col 43}{space 1}    0.86{col 52}{space 3}0.392{col 60}{space 4}-.0324062{col 73}{space 3} .0825971
{txt}{space 7}state_nythr {c |}{col 20}{res}{space 2} .0081641{col 32}{space 2} .0090713{col 43}{space 1}    0.90{col 52}{space 3}0.368{col 60}{space 4}-.0096153{col 73}{space 3} .0259435
{txt}{space 6}senate_score {c |}{col 20}{res}{space 2} .1560186{col 32}{space 2} .1014032{col 43}{space 1}    1.54{col 52}{space 3}0.124{col 60}{space 4} -.042728{col 73}{space 3} .3547653
{txt}{space 6}senate_nythr {c |}{col 20}{res}{space 2}-.0289867{col 32}{space 2} .0154987{col 43}{space 1}   -1.87{col 52}{space 3}0.061{col 60}{space 4}-.0593637{col 73}{space 3} .0013902
{txt}{space 11}polity2 {c |}{col 20}{res}{space 2} .0706961{col 32}{space 2} .0553061{col 43}{space 1}    1.28{col 52}{space 3}0.201{col 60}{space 4}-.0377018{col 73}{space 3} .1790941
{txt}{space 9}log_gdppc {c |}{col 20}{res}{space 2}-.3786576{col 32}{space 2} .1852474{col 43}{space 1}   -2.04{col 52}{space 3}0.041{col 60}{space 4}-.7417358{col 73}{space 3}-.0155795
{txt}{space 9}us_allied {c |}{col 20}{res}{space 2}-.2411775{col 32}{space 2} .8419453{col 43}{space 1}   -0.29{col 52}{space 3}0.775{col 60}{space 4} -1.89136{col 73}{space 3} 1.409005
{txt}us_distance_logged {c |}{col 20}{res}{space 2} .3629035{col 32}{space 2} .9296296{col 43}{space 1}    0.39{col 52}{space 3}0.696{col 60}{space 4}-1.459137{col 73}{space 3} 2.184944
{txt}{space 5}oil_petroleum {c |}{col 20}{res}{space 2}-.0086472{col 32}{space 2} .0037793{col 43}{space 1}   -2.29{col 52}{space 3}0.022{col 60}{space 4}-.0160545{col 73}{space 3}-.0012398
{txt}{space 10}military {c |}{col 20}{res}{space 2}-.0039484{col 32}{space 2} .0029127{col 43}{space 1}   -1.36{col 52}{space 3}0.175{col 60}{space 4}-.0096571{col 73}{space 3} .0017604
{txt}{space 7}onset2cv410 {c |}{col 20}{res}{space 2} .2768997{col 32}{space 2} .7242276{col 43}{space 1}    0.38{col 52}{space 3}0.702{col 60}{space 4} -1.14256{col 73}{space 3}  1.69636
{txt}{space 13}_cons {c |}{col 20}{res}{space 2}-8.469948{col 32}{space 2} 9.644949{col 43}{space 1}   -0.88{col 52}{space 3}0.380{col 60}{space 4} -27.3737{col 73}{space 3} 10.43381
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.  est store mod5
{txt}
{com}. xtgee usintervene_human1       state nythr state_nythr senate_score senate_nythr polity2 log_gdppc us_allied us_distance_logged oil_petroleum military onset2cv410 americas africa asia oceanania, family (binomial) link (logit) corr (ar1) force robust nolog 

{res}{txt}GEE population-averaged model                   Number of obs     = {res}     1,549
{txt}Group and time vars:            {res}ccode year      {txt}Number of groups  = {res}       131
{txt}Link:                                {res}logit      {txt}Obs per group:
Family:                           {res}binomial                    {txt}min = {res}         2
{txt}Correlation:                         {res}AR(1)                    {txt}avg = {res}      11.8
                                                              {txt}max = {res}        12
                                                {txt}Wald chi2({res}16{txt})     =  {res}    69.04
{txt}Scale parameter:                 {res}        1      {txt}Prob > chi2       =     {res}0.0000

{txt}{ralign 84:(Std. Err. adjusted for clustering on ccode)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}usintervene_human1{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}state {c |}{col 20}{res}{space 2} 1.023861{col 32}{space 2} .3596333{col 43}{space 1}    2.85{col 52}{space 3}0.004{col 60}{space 4}  .318993{col 73}{space 3}  1.72873
{txt}{space 13}nythr {c |}{col 20}{res}{space 2} .0600748{col 32}{space 2}  .037723{col 43}{space 1}    1.59{col 52}{space 3}0.111{col 60}{space 4} -.013861{col 73}{space 3} .1340105
{txt}{space 7}state_nythr {c |}{col 20}{res}{space 2}-.0027954{col 32}{space 2} .0109077{col 43}{space 1}   -0.26{col 52}{space 3}0.798{col 60}{space 4}-.0241741{col 73}{space 3} .0185833
{txt}{space 6}senate_score {c |}{col 20}{res}{space 2} .1718864{col 32}{space 2} .0945483{col 43}{space 1}    1.82{col 52}{space 3}0.069{col 60}{space 4}-.0134248{col 73}{space 3} .3571977
{txt}{space 6}senate_nythr {c |}{col 20}{res}{space 2}-.0300385{col 32}{space 2} .0134662{col 43}{space 1}   -2.23{col 52}{space 3}0.026{col 60}{space 4}-.0564317{col 73}{space 3}-.0036452
{txt}{space 11}polity2 {c |}{col 20}{res}{space 2} .0606911{col 32}{space 2} .0533716{col 43}{space 1}    1.14{col 52}{space 3}0.255{col 60}{space 4}-.0439153{col 73}{space 3} .1652974
{txt}{space 9}log_gdppc {c |}{col 20}{res}{space 2}-.9969298{col 32}{space 2} .5856133{col 43}{space 1}   -1.70{col 52}{space 3}0.089{col 60}{space 4}-2.144711{col 73}{space 3} .1508513
{txt}{space 9}us_allied {c |}{col 20}{res}{space 2}-.1783418{col 32}{space 2} .7744918{col 43}{space 1}   -0.23{col 52}{space 3}0.818{col 60}{space 4}-1.696318{col 73}{space 3} 1.339634
{txt}us_distance_logged {c |}{col 20}{res}{space 2}-.4886712{col 32}{space 2} .6584766{col 43}{space 1}   -0.74{col 52}{space 3}0.458{col 60}{space 4}-1.779262{col 73}{space 3} .8019192
{txt}{space 5}oil_petroleum {c |}{col 20}{res}{space 2}-.0056686{col 32}{space 2} .0060239{col 43}{space 1}   -0.94{col 52}{space 3}0.347{col 60}{space 4}-.0174752{col 73}{space 3} .0061381
{txt}{space 10}military {c |}{col 20}{res}{space 2}-.0033641{col 32}{space 2} .0025506{col 43}{space 1}   -1.32{col 52}{space 3}0.187{col 60}{space 4}-.0083631{col 73}{space 3} .0016349
{txt}{space 7}onset2cv410 {c |}{col 20}{res}{space 2} .2010189{col 32}{space 2}  .765703{col 43}{space 1}    0.26{col 52}{space 3}0.793{col 60}{space 4}-1.299731{col 73}{space 3} 1.701769
{txt}{space 10}americas {c |}{col 20}{res}{space 2}-.7752098{col 32}{space 2} 1.082259{col 43}{space 1}   -0.72{col 52}{space 3}0.474{col 60}{space 4}-2.896399{col 73}{space 3}  1.34598
{txt}{space 12}africa {c |}{col 20}{res}{space 2}-1.878986{col 32}{space 2} 1.616567{col 43}{space 1}   -1.16{col 52}{space 3}0.245{col 60}{space 4}-5.047399{col 73}{space 3} 1.289427
{txt}{space 14}asia {c |}{col 20}{res}{space 2} .4389472{col 32}{space 2} .9776154{col 43}{space 1}    0.45{col 52}{space 3}0.653{col 60}{space 4}-1.477144{col 73}{space 3} 2.355038
{txt}{space 9}oceanania {c |}{col 20}{res}{space 2} 2.260493{col 32}{space 2} 1.029814{col 43}{space 1}    2.20{col 52}{space 3}0.028{col 60}{space 4} .2420935{col 73}{space 3} 4.278892
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} 4.899857{col 32}{space 2} 8.770351{col 43}{space 1}    0.56{col 52}{space 3}0.576{col 60}{space 4}-12.28972{col 73}{space 3} 22.08943
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.  est store mod6
{txt}
{com}. *relogit
. relogit usintervene_human1       state nythr state_nythr senate_score senate_nythr polity2 log_gdppc us_allied us_distance_logged oil_petroleum military onset2cv410 
{txt}(1,951 missing values generated)


Corrected logit estimates                             Number of obs ={res}     1549

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}usintervene_human1{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}state {c |}{col 20}{res}{space 2} .9507367{col 32}{space 2} .3627625{col 43}{space 1}    2.62{col 52}{space 3}0.009{col 60}{space 4} .2397352{col 73}{space 3} 1.661738
{txt}{space 13}nythr {c |}{col 20}{res}{space 2} .0400248{col 32}{space 2} .0314273{col 43}{space 1}    1.27{col 52}{space 3}0.203{col 60}{space 4}-.0215716{col 73}{space 3} .1016212
{txt}{space 7}state_nythr {c |}{col 20}{res}{space 2} .0031439{col 32}{space 2} .0097349{col 43}{space 1}    0.32{col 52}{space 3}0.747{col 60}{space 4}-.0159361{col 73}{space 3} .0222239
{txt}{space 6}senate_score {c |}{col 20}{res}{space 2} .1539977{col 32}{space 2} .0937261{col 43}{space 1}    1.64{col 52}{space 3}0.100{col 60}{space 4} -.029702{col 73}{space 3} .3376974
{txt}{space 6}senate_nythr {c |}{col 20}{res}{space 2} -.023738{col 32}{space 2}  .014597{col 43}{space 1}   -1.63{col 52}{space 3}0.104{col 60}{space 4}-.0523475{col 73}{space 3} .0048715
{txt}{space 11}polity2 {c |}{col 20}{res}{space 2} .0639753{col 32}{space 2}  .048209{col 43}{space 1}    1.33{col 52}{space 3}0.184{col 60}{space 4}-.0305127{col 73}{space 3} .1584633
{txt}{space 9}log_gdppc {c |}{col 20}{res}{space 2}-.3550461{col 32}{space 2} .2040269{col 43}{space 1}   -1.74{col 52}{space 3}0.082{col 60}{space 4}-.7549316{col 73}{space 3} .0448393
{txt}{space 9}us_allied {c |}{col 20}{res}{space 2} .0796458{col 32}{space 2} .7349304{col 43}{space 1}    0.11{col 52}{space 3}0.914{col 60}{space 4}-1.360791{col 73}{space 3} 1.520083
{txt}us_distance_logged {c |}{col 20}{res}{space 2} .3036471{col 32}{space 2} .7837552{col 43}{space 1}    0.39{col 52}{space 3}0.698{col 60}{space 4}-1.232485{col 73}{space 3} 1.839779
{txt}{space 5}oil_petroleum {c |}{col 20}{res}{space 2}-.0002386{col 32}{space 2} .0033431{col 43}{space 1}   -0.07{col 52}{space 3}0.943{col 60}{space 4} -.006791{col 73}{space 3} .0063138
{txt}{space 10}military {c |}{col 20}{res}{space 2} .0093684{col 32}{space 2} .0034214{col 43}{space 1}    2.74{col 52}{space 3}0.006{col 60}{space 4} .0026626{col 73}{space 3} .0160742
{txt}{space 7}onset2cv410 {c |}{col 20}{res}{space 2}  .303335{col 32}{space 2} .7897037{col 43}{space 1}    0.38{col 52}{space 3}0.701{col 60}{space 4}-1.244456{col 73}{space 3} 1.851126
{txt}{space 13}_cons {c |}{col 20}{res}{space 2}-7.862169{col 32}{space 2} 8.355918{col 43}{space 1}   -0.94{col 52}{space 3}0.347{col 60}{space 4}-24.23947{col 73}{space 3}  8.51513
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.  est store mod7
{txt}
{com}. relogit usintervene_human1       state nythr state_nythr senate_score senate_nythr polity2 log_gdppc us_allied us_distance_logged oil_petroleum military onset2cv410 americas africa asia oceanania
{txt}(1,951 missing values generated)


Corrected logit estimates                             Number of obs ={res}     1549

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}usintervene_human1{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}state {c |}{col 20}{res}{space 2} .9907339{col 32}{space 2} .3957406{col 43}{space 1}    2.50{col 52}{space 3}0.012{col 60}{space 4} .2150966{col 73}{space 3} 1.766371
{txt}{space 13}nythr {c |}{col 20}{res}{space 2} .0721721{col 32}{space 2} .0332427{col 43}{space 1}    2.17{col 52}{space 3}0.030{col 60}{space 4} .0070177{col 73}{space 3} .1373265
{txt}{space 7}state_nythr {c |}{col 20}{res}{space 2}-.0075936{col 32}{space 2} .0100854{col 43}{space 1}   -0.75{col 52}{space 3}0.451{col 60}{space 4}-.0273606{col 73}{space 3} .0121734
{txt}{space 6}senate_score {c |}{col 20}{res}{space 2} .1544726{col 32}{space 2} .0841632{col 43}{space 1}    1.84{col 52}{space 3}0.066{col 60}{space 4}-.0104843{col 73}{space 3} .3194295
{txt}{space 6}senate_nythr {c |}{col 20}{res}{space 2}-.0238584{col 32}{space 2} .0125671{col 43}{space 1}   -1.90{col 52}{space 3}0.058{col 60}{space 4}-.0484896{col 73}{space 3} .0007727
{txt}{space 11}polity2 {c |}{col 20}{res}{space 2} .0530213{col 32}{space 2} .0412092{col 43}{space 1}    1.29{col 52}{space 3}0.198{col 60}{space 4}-.0277472{col 73}{space 3} .1337898
{txt}{space 9}log_gdppc {c |}{col 20}{res}{space 2}-.9178031{col 32}{space 2} .4820511{col 43}{space 1}   -1.90{col 52}{space 3}0.057{col 60}{space 4}-1.862606{col 73}{space 3} .0269997
{txt}{space 9}us_allied {c |}{col 20}{res}{space 2} .2019931{col 32}{space 2} .6674022{col 43}{space 1}    0.30{col 52}{space 3}0.762{col 60}{space 4}-1.106091{col 73}{space 3} 1.510077
{txt}us_distance_logged {c |}{col 20}{res}{space 2}-.7625486{col 32}{space 2} .5840967{col 43}{space 1}   -1.31{col 52}{space 3}0.192{col 60}{space 4}-1.907357{col 73}{space 3} .3822598
{txt}{space 5}oil_petroleum {c |}{col 20}{res}{space 2} .0056411{col 32}{space 2} .0051712{col 43}{space 1}    1.09{col 52}{space 3}0.275{col 60}{space 4}-.0044943{col 73}{space 3} .0157764
{txt}{space 10}military {c |}{col 20}{res}{space 2} .0089645{col 32}{space 2} .0031115{col 43}{space 1}    2.88{col 52}{space 3}0.004{col 60}{space 4} .0028661{col 73}{space 3} .0150629
{txt}{space 7}onset2cv410 {c |}{col 20}{res}{space 2} .2012607{col 32}{space 2} .8385811{col 43}{space 1}    0.24{col 52}{space 3}0.810{col 60}{space 4}-1.442328{col 73}{space 3} 1.844849
{txt}{space 10}americas {c |}{col 20}{res}{space 2}-1.157473{col 32}{space 2} .9231388{col 43}{space 1}   -1.25{col 52}{space 3}0.210{col 60}{space 4}-2.966792{col 73}{space 3}  .651846
{txt}{space 12}africa {c |}{col 20}{res}{space 2}-1.816101{col 32}{space 2} 1.453603{col 43}{space 1}   -1.25{col 52}{space 3}0.212{col 60}{space 4} -4.66511{col 73}{space 3} 1.032908
{txt}{space 14}asia {c |}{col 20}{res}{space 2} .3687434{col 32}{space 2} .8055982{col 43}{space 1}    0.46{col 52}{space 3}0.647{col 60}{space 4}  -1.2102{col 73}{space 3} 1.947687
{txt}{space 9}oceanania {c |}{col 20}{res}{space 2} 2.434254{col 32}{space 2} 1.247695{col 43}{space 1}    1.95{col 52}{space 3}0.051{col 60}{space 4}-.0111843{col 73}{space 3} 4.879692
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} 7.385647{col 32}{space 2} 7.578179{col 43}{space 1}    0.97{col 52}{space 3}0.330{col 60}{space 4}-7.467312{col 73}{space 3} 22.23861
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.  est store mod8
{txt}
{com}. esttab mod*, b(3) se(3) stats(N ll r2) keep(state nythr state_nythr senate_score senate_nythr polity2 log_gdppc us_allied us_distance_logged oil_petroleum military onset2cv410 usintervene_human americas africa asia oceanania _cons)
{res}
{txt}{hline 140}
{txt}                      (1)             (2)             (3)             (4)             (5)             (6)             (7)             (8)   
{txt}             usinterven~1    usinterven~1    usinterven~1    usinterven~1    usinterven~1    usinterven~1    usinterven~1    usinterven~1   
{txt}{hline 140}
{res}main                                                                                                                                        {txt}
{txt}state       {res}        0.809**         0.942*          0.883**         1.013**         0.954**         1.024**         0.951**         0.991*  {txt}
            {res} {ralign 12:{txt:(}0.314{txt:)}}    {ralign 12:{txt:(}0.392{txt:)}}    {ralign 12:{txt:(}0.311{txt:)}}    {ralign 12:{txt:(}0.366{txt:)}}    {ralign 12:{txt:(}0.329{txt:)}}    {ralign 12:{txt:(}0.360{txt:)}}    {ralign 12:{txt:(}0.363{txt:)}}    {ralign 12:{txt:(}0.396{txt:)}}   {txt}

{txt}nythr       {res}        0.017           0.050           0.021           0.055           0.025           0.060           0.040           0.072*  {txt}
            {res} {ralign 12:{txt:(}0.028{txt:)}}    {ralign 12:{txt:(}0.039{txt:)}}    {ralign 12:{txt:(}0.028{txt:)}}    {ralign 12:{txt:(}0.037{txt:)}}    {ralign 12:{txt:(}0.029{txt:)}}    {ralign 12:{txt:(}0.038{txt:)}}    {ralign 12:{txt:(}0.031{txt:)}}    {ralign 12:{txt:(}0.033{txt:)}}   {txt}

{txt}state_nythr {res}        0.009          -0.002           0.008          -0.003           0.008          -0.003           0.003          -0.008   {txt}
            {res} {ralign 12:{txt:(}0.009{txt:)}}    {ralign 12:{txt:(}0.012{txt:)}}    {ralign 12:{txt:(}0.009{txt:)}}    {ralign 12:{txt:(}0.011{txt:)}}    {ralign 12:{txt:(}0.009{txt:)}}    {ralign 12:{txt:(}0.011{txt:)}}    {ralign 12:{txt:(}0.010{txt:)}}    {ralign 12:{txt:(}0.010{txt:)}}   {txt}

{txt}senate_score{res}        0.157           0.167           0.152           0.160           0.156           0.172           0.154           0.154   {txt}
            {res} {ralign 12:{txt:(}0.097{txt:)}}    {ralign 12:{txt:(}0.095{txt:)}}    {ralign 12:{txt:(}0.105{txt:)}}    {ralign 12:{txt:(}0.095{txt:)}}    {ralign 12:{txt:(}0.101{txt:)}}    {ralign 12:{txt:(}0.095{txt:)}}    {ralign 12:{txt:(}0.094{txt:)}}    {ralign 12:{txt:(}0.084{txt:)}}   {txt}

{txt}senate_nythr{res}       -0.026          -0.028*         -0.026          -0.027*         -0.029          -0.030*         -0.024          -0.024   {txt}
            {res} {ralign 12:{txt:(}0.015{txt:)}}    {ralign 12:{txt:(}0.014{txt:)}}    {ralign 12:{txt:(}0.014{txt:)}}    {ralign 12:{txt:(}0.013{txt:)}}    {ralign 12:{txt:(}0.015{txt:)}}    {ralign 12:{txt:(}0.013{txt:)}}    {ralign 12:{txt:(}0.015{txt:)}}    {ralign 12:{txt:(}0.013{txt:)}}   {txt}

{txt}polity2     {res}        0.044           0.030           0.062           0.052           0.071           0.061           0.064           0.053   {txt}
            {res} {ralign 12:{txt:(}0.052{txt:)}}    {ralign 12:{txt:(}0.050{txt:)}}    {ralign 12:{txt:(}0.055{txt:)}}    {ralign 12:{txt:(}0.052{txt:)}}    {ralign 12:{txt:(}0.055{txt:)}}    {ralign 12:{txt:(}0.053{txt:)}}    {ralign 12:{txt:(}0.048{txt:)}}    {ralign 12:{txt:(}0.041{txt:)}}   {txt}

{txt}log_gdppc   {res}       -0.209          -0.649          -0.311          -0.825          -0.379*         -0.997          -0.355          -0.918   {txt}
            {res} {ralign 12:{txt:(}0.180{txt:)}}    {ralign 12:{txt:(}0.455{txt:)}}    {ralign 12:{txt:(}0.183{txt:)}}    {ralign 12:{txt:(}0.598{txt:)}}    {ralign 12:{txt:(}0.185{txt:)}}    {ralign 12:{txt:(}0.586{txt:)}}    {ralign 12:{txt:(}0.204{txt:)}}    {ralign 12:{txt:(}0.482{txt:)}}   {txt}

{txt}us_allied   {res}        0.005          -0.186           0.413           0.387          -0.241          -0.178           0.080           0.202   {txt}
            {res} {ralign 12:{txt:(}0.889{txt:)}}    {ralign 12:{txt:(}0.773{txt:)}}    {ralign 12:{txt:(}1.002{txt:)}}    {ralign 12:{txt:(}0.803{txt:)}}    {ralign 12:{txt:(}0.842{txt:)}}    {ralign 12:{txt:(}0.774{txt:)}}    {ralign 12:{txt:(}0.735{txt:)}}    {ralign 12:{txt:(}0.667{txt:)}}   {txt}

{txt}us_distanc~d{res}        0.743          -0.428           0.764          -0.403           0.363          -0.489           0.304          -0.763   {txt}
            {res} {ralign 12:{txt:(}0.992{txt:)}}    {ralign 12:{txt:(}0.565{txt:)}}    {ralign 12:{txt:(}1.145{txt:)}}    {ralign 12:{txt:(}0.704{txt:)}}    {ralign 12:{txt:(}0.930{txt:)}}    {ralign 12:{txt:(}0.658{txt:)}}    {ralign 12:{txt:(}0.784{txt:)}}    {ralign 12:{txt:(}0.584{txt:)}}   {txt}

{txt}usinterven~n{res}        3.462***        3.366***                                                                                                {txt}
            {res} {ralign 12:{txt:(}0.859{txt:)}}    {ralign 12:{txt:(}0.849{txt:)}}                                                                                                   {txt}

{txt}oil_petrol~m{res}       -0.008**        -0.006          -0.008*         -0.005          -0.009*         -0.006          -0.000           0.006   {txt}
            {res} {ralign 12:{txt:(}0.003{txt:)}}    {ralign 12:{txt:(}0.005{txt:)}}    {ralign 12:{txt:(}0.004{txt:)}}    {ralign 12:{txt:(}0.006{txt:)}}    {ralign 12:{txt:(}0.004{txt:)}}    {ralign 12:{txt:(}0.006{txt:)}}    {ralign 12:{txt:(}0.003{txt:)}}    {ralign 12:{txt:(}0.005{txt:)}}   {txt}

{txt}military    {res}       -0.003          -0.002          -0.004          -0.004          -0.004          -0.003           0.009**         0.009** {txt}
            {res} {ralign 12:{txt:(}0.002{txt:)}}    {ralign 12:{txt:(}0.002{txt:)}}    {ralign 12:{txt:(}0.003{txt:)}}    {ralign 12:{txt:(}0.003{txt:)}}    {ralign 12:{txt:(}0.003{txt:)}}    {ralign 12:{txt:(}0.003{txt:)}}    {ralign 12:{txt:(}0.003{txt:)}}    {ralign 12:{txt:(}0.003{txt:)}}   {txt}

{txt}onset2cv410 {res}        0.406           0.304           0.362           0.329           0.277           0.201           0.303           0.201   {txt}
            {res} {ralign 12:{txt:(}0.905{txt:)}}    {ralign 12:{txt:(}0.969{txt:)}}    {ralign 12:{txt:(}0.751{txt:)}}    {ralign 12:{txt:(}0.853{txt:)}}    {ralign 12:{txt:(}0.724{txt:)}}    {ralign 12:{txt:(}0.766{txt:)}}    {ralign 12:{txt:(}0.790{txt:)}}    {ralign 12:{txt:(}0.839{txt:)}}   {txt}

{txt}americas    {res}                       -0.274                          -0.684                          -0.775                          -1.157   {txt}
            {res}                 {ralign 12:{txt:(}1.093{txt:)}}                    {ralign 12:{txt:(}1.350{txt:)}}                    {ralign 12:{txt:(}1.082{txt:)}}                    {ralign 12:{txt:(}0.923{txt:)}}   {txt}

{txt}africa      {res}                       -1.147                          -1.458                          -1.879                          -1.816   {txt}
            {res}                 {ralign 12:{txt:(}1.267{txt:)}}                    {ralign 12:{txt:(}1.679{txt:)}}                    {ralign 12:{txt:(}1.617{txt:)}}                    {ralign 12:{txt:(}1.454{txt:)}}   {txt}

{txt}asia        {res}                        1.048                           0.791                           0.439                           0.369   {txt}
            {res}                 {ralign 12:{txt:(}0.847{txt:)}}                    {ralign 12:{txt:(}1.211{txt:)}}                    {ralign 12:{txt:(}0.978{txt:)}}                    {ralign 12:{txt:(}0.806{txt:)}}   {txt}

{txt}oceanania   {res}                        2.387*                          2.298*                          2.260*                          2.434   {txt}
            {res}                 {ralign 12:{txt:(}1.184{txt:)}}                    {ralign 12:{txt:(}1.041{txt:)}}                    {ralign 12:{txt:(}1.030{txt:)}}                    {ralign 12:{txt:(}1.248{txt:)}}   {txt}

{txt}_cons       {res}      -13.149           1.072         -11.330           3.533          -8.470           4.900          -7.862           7.386   {txt}
            {res} {ralign 12:{txt:(}10.303{txt:)}}    {ralign 12:{txt:(}7.017{txt:)}}    {ralign 12:{txt:(}11.155{txt:)}}    {ralign 12:{txt:(}9.075{txt:)}}    {ralign 12:{txt:(}9.645{txt:)}}    {ralign 12:{txt:(}8.770{txt:)}}    {ralign 12:{txt:(}8.356{txt:)}}    {ralign 12:{txt:(}7.578{txt:)}}   {txt}
{txt}{hline 140}
{txt}N           {res}     1549.000        1549.000        1549.000        1549.000        1549.000        1549.000        1549.000        1549.000   {txt}
{txt}ll          {res}      -55.620         -52.725         -61.083         -57.907                                                                   {txt}
{txt}r2          {res}                                                                                                                                {txt}
{txt}{hline 140}
{txt}Standard errors in parentheses
{txt}* p<0.05, ** p<0.01, *** p<0.001

{com}. estimates clear
{txt}
{com}. 
. 
. 
. ******************* Appendix 1, descriptive country reports from the State Department *******************
. 
. 
. ******************* Appendix 2 *******************
. corr state latentmean physint amnesty
{txt}(obs=2,744)

             {c |}    state latent~n  physint  amnesty
{hline 13}{c +}{hline 36}
       state {c |}{res}   1.0000
  {txt}latentmean {c |}{res}  -0.8589   1.0000
     {txt}physint {c |}{res}  -0.7956   0.8549   1.0000
     {txt}amnesty {c |}{res}   0.7933  -0.8418  -0.7501   1.0000

{txt}
{com}. 
. 
. ******************* Appendix 3 *******************
. *Fariss' human rights index
. ********************* logit with clustering
. logit usintervene_human1 latentmean nythr latentmean_nythr senate_score senate_nythr polity2 log_gdppc us_allied us_distance_logged usintervene_human oil_petroleum military onset2cv410, cluster(ccode)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-89.081498}  
Iteration 1:{space 3}log pseudolikelihood = {res:-71.048633}  
Iteration 2:{space 3}log pseudolikelihood = {res:-59.652269}  
Iteration 3:{space 3}log pseudolikelihood = {res:-53.418701}  
Iteration 4:{space 3}log pseudolikelihood = {res:-52.176362}  
Iteration 5:{space 3}log pseudolikelihood = {res:-51.992819}  
Iteration 6:{space 3}log pseudolikelihood = {res:-51.985555}  
Iteration 7:{space 3}log pseudolikelihood = {res:-51.985518}  
Iteration 8:{space 3}log pseudolikelihood = {res:-51.985518}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     1,549
{txt}{col 49}Wald chi2({res}13{txt}){col 67}= {res}     93.78
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-51.985518{txt}{col 49}Pseudo R2{col 67}= {res}    0.4164

{txt}{ralign 84:(Std. Err. adjusted for {res:131} clusters in ccode)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}usintervene_human1{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}latentmean {c |}{col 20}{res}{space 2}-1.329147{col 32}{space 2} .3507009{col 43}{space 1}   -3.79{col 52}{space 3}0.000{col 60}{space 4}-2.016508{col 73}{space 3}-.6417864
{txt}{space 13}nythr {c |}{col 20}{res}{space 2}  .027446{col 32}{space 2} .0151567{col 43}{space 1}    1.81{col 52}{space 3}0.070{col 60}{space 4}-.0022607{col 73}{space 3} .0571526
{txt}{space 2}latentmean_nythr {c |}{col 20}{res}{space 2}-.0178466{col 32}{space 2} .0167207{col 43}{space 1}   -1.07{col 52}{space 3}0.286{col 60}{space 4}-.0506185{col 73}{space 3} .0149254
{txt}{space 6}senate_score {c |}{col 20}{res}{space 2} .1639861{col 32}{space 2} .1038441{col 43}{space 1}    1.58{col 52}{space 3}0.114{col 60}{space 4}-.0395446{col 73}{space 3} .3675168
{txt}{space 6}senate_nythr {c |}{col 20}{res}{space 2}-.0263597{col 32}{space 2} .0153208{col 43}{space 1}   -1.72{col 52}{space 3}0.085{col 60}{space 4}-.0563879{col 73}{space 3} .0036685
{txt}{space 11}polity2 {c |}{col 20}{res}{space 2} .0571937{col 32}{space 2} .0534443{col 43}{space 1}    1.07{col 52}{space 3}0.285{col 60}{space 4}-.0475553{col 73}{space 3} .1619426
{txt}{space 9}log_gdppc {c |}{col 20}{res}{space 2}  .030219{col 32}{space 2} .2091347{col 43}{space 1}    0.14{col 52}{space 3}0.885{col 60}{space 4}-.3796776{col 73}{space 3} .4401155
{txt}{space 9}us_allied {c |}{col 20}{res}{space 2}-.3354255{col 32}{space 2} .8094241{col 43}{space 1}   -0.41{col 52}{space 3}0.679{col 60}{space 4}-1.921868{col 73}{space 3} 1.251017
{txt}us_distance_logged {c |}{col 20}{res}{space 2} .2911447{col 32}{space 2} .8624401{col 43}{space 1}    0.34{col 52}{space 3}0.736{col 60}{space 4}-1.399207{col 73}{space 3} 1.981496
{txt}{space 1}usintervene_human {c |}{col 20}{res}{space 2} 3.215382{col 32}{space 2} .8330835{col 43}{space 1}    3.86{col 52}{space 3}0.000{col 60}{space 4} 1.582568{col 73}{space 3} 4.848196
{txt}{space 5}oil_petroleum {c |}{col 20}{res}{space 2}-.0110713{col 32}{space 2} .0041577{col 43}{space 1}   -2.66{col 52}{space 3}0.008{col 60}{space 4}-.0192202{col 73}{space 3}-.0029223
{txt}{space 10}military {c |}{col 20}{res}{space 2}-.0033721{col 32}{space 2} .0025715{col 43}{space 1}   -1.31{col 52}{space 3}0.190{col 60}{space 4}-.0084121{col 73}{space 3} .0016679
{txt}{space 7}onset2cv410 {c |}{col 20}{res}{space 2} .3586761{col 32}{space 2} .9473005{col 43}{space 1}    0.38{col 52}{space 3}0.705{col 60}{space 4}-1.497999{col 73}{space 3} 2.215351
{txt}{space 13}_cons {c |}{col 20}{res}{space 2}-8.856622{col 32}{space 2} 8.749058{col 43}{space 1}   -1.01{col 52}{space 3}0.311{col 60}{space 4}-26.00446{col 73}{space 3} 8.291216
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 65 failures and 0 successes completely determined.{p_end}

{com}.  est store mod1
{txt}
{com}. logit usintervene_human1 latentmean nythr latentmean_nythr senate_score senate_nythr polity2 log_gdppc us_allied us_distance_logged usintervene_human oil_petroleum military onset2cv410 americas africa asia oceanania, cluster(ccode)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-89.081498}  
Iteration 1:{space 3}log pseudolikelihood = {res:-70.318345}  
Iteration 2:{space 3}log pseudolikelihood = {res:-58.639097}  
Iteration 3:{space 3}log pseudolikelihood = {res:-51.259689}  
Iteration 4:{space 3}log pseudolikelihood = {res:-50.043421}  
Iteration 5:{space 3}log pseudolikelihood = {res:-49.854891}  
Iteration 6:{space 3}log pseudolikelihood = {res:-49.851124}  
Iteration 7:{space 3}log pseudolikelihood = {res:-49.851111}  
Iteration 8:{space 3}log pseudolikelihood = {res:-49.851111}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     1,549
{txt}{col 49}Wald chi2({res}17{txt}){col 67}= {res}    117.02
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-49.851111{txt}{col 49}Pseudo R2{col 67}= {res}    0.4404

{txt}{ralign 84:(Std. Err. adjusted for {res:131} clusters in ccode)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}usintervene_human1{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}latentmean {c |}{col 20}{res}{space 2}-1.586966{col 32}{space 2} .4898246{col 43}{space 1}   -3.24{col 52}{space 3}0.001{col 60}{space 4}-2.547005{col 73}{space 3}-.6269278
{txt}{space 13}nythr {c |}{col 20}{res}{space 2} .0359955{col 32}{space 2} .0159606{col 43}{space 1}    2.26{col 52}{space 3}0.024{col 60}{space 4} .0047132{col 73}{space 3} .0672777
{txt}{space 2}latentmean_nythr {c |}{col 20}{res}{space 2}-.0046525{col 32}{space 2} .0159429{col 43}{space 1}   -0.29{col 52}{space 3}0.770{col 60}{space 4}   -.0359{col 73}{space 3}  .026595
{txt}{space 6}senate_score {c |}{col 20}{res}{space 2} .1639936{col 32}{space 2} .1023852{col 43}{space 1}    1.60{col 52}{space 3}0.109{col 60}{space 4}-.0366777{col 73}{space 3} .3646648
{txt}{space 6}senate_nythr {c |}{col 20}{res}{space 2}-.0276534{col 32}{space 2}  .014609{col 43}{space 1}   -1.89{col 52}{space 3}0.058{col 60}{space 4}-.0562865{col 73}{space 3} .0009798
{txt}{space 11}polity2 {c |}{col 20}{res}{space 2} .0345838{col 32}{space 2} .0524574{col 43}{space 1}    0.66{col 52}{space 3}0.510{col 60}{space 4}-.0682309{col 73}{space 3} .1373984
{txt}{space 9}log_gdppc {c |}{col 20}{res}{space 2}-.1294184{col 32}{space 2} .4285225{col 43}{space 1}   -0.30{col 52}{space 3}0.763{col 60}{space 4} -.969307{col 73}{space 3} .7104701
{txt}{space 9}us_allied {c |}{col 20}{res}{space 2}-.4410997{col 32}{space 2} .7272079{col 43}{space 1}   -0.61{col 52}{space 3}0.544{col 60}{space 4}-1.866401{col 73}{space 3} .9842016
{txt}us_distance_logged {c |}{col 20}{res}{space 2}-.8887906{col 32}{space 2} .6478005{col 43}{space 1}   -1.37{col 52}{space 3}0.170{col 60}{space 4}-2.158456{col 73}{space 3}  .380875
{txt}{space 1}usintervene_human {c |}{col 20}{res}{space 2}  3.11495{col 32}{space 2}  .850146{col 43}{space 1}    3.66{col 52}{space 3}0.000{col 60}{space 4} 1.448695{col 73}{space 3} 4.781206
{txt}{space 5}oil_petroleum {c |}{col 20}{res}{space 2}-.0104148{col 32}{space 2} .0064179{col 43}{space 1}   -1.62{col 52}{space 3}0.105{col 60}{space 4}-.0229936{col 73}{space 3}  .002164
{txt}{space 10}military {c |}{col 20}{res}{space 2}-.0031317{col 32}{space 2} .0024468{col 43}{space 1}   -1.28{col 52}{space 3}0.201{col 60}{space 4}-.0079274{col 73}{space 3} .0016639
{txt}{space 7}onset2cv410 {c |}{col 20}{res}{space 2} .2425945{col 32}{space 2} .9830643{col 43}{space 1}    0.25{col 52}{space 3}0.805{col 60}{space 4}-1.684176{col 73}{space 3} 2.169365
{txt}{space 10}americas {c |}{col 20}{res}{space 2}-.4472127{col 32}{space 2} 1.226962{col 43}{space 1}   -0.36{col 52}{space 3}0.715{col 60}{space 4}-2.852014{col 73}{space 3} 1.957589
{txt}{space 12}africa {c |}{col 20}{res}{space 2}-.3713971{col 32}{space 2} 1.323723{col 43}{space 1}   -0.28{col 52}{space 3}0.779{col 60}{space 4}-2.965846{col 73}{space 3} 2.223052
{txt}{space 14}asia {c |}{col 20}{res}{space 2} 1.142746{col 32}{space 2} .9539336{col 43}{space 1}    1.20{col 52}{space 3}0.231{col 60}{space 4}-.7269295{col 73}{space 3} 3.012422
{txt}{space 9}oceanania {c |}{col 20}{res}{space 2} 2.828118{col 32}{space 2} 1.342448{col 43}{space 1}    2.11{col 52}{space 3}0.035{col 60}{space 4} .1969689{col 73}{space 3} 5.459268
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} 3.088104{col 32}{space 2} 7.053338{col 43}{space 1}    0.44{col 52}{space 3}0.662{col 60}{space 4}-10.73618{col 73}{space 3} 16.91239
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 58 failures and 0 successes completely determined.{p_end}

{com}.  est store mod2
{txt}
{com}. *physint
. ********************* logit with clustering
. logit usintervene_human1 physint nythr physint_nythr senate_score senate_nythr polity2 log_gdppc us_allied us_distance_logged usintervene_human oil_petroleum military onset2cv410, cluster(ccode)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-74.662319}  
Iteration 1:{space 3}log pseudolikelihood = {res:-62.454881}  
Iteration 2:{space 3}log pseudolikelihood = {res:-53.941161}  
Iteration 3:{space 3}log pseudolikelihood = {res:-48.955571}  
Iteration 4:{space 3}log pseudolikelihood = {res:-47.919675}  
Iteration 5:{space 3}log pseudolikelihood = {res:-47.743097}  
Iteration 6:{space 3}log pseudolikelihood = {res:-47.737184}  
Iteration 7:{space 3}log pseudolikelihood = {res:-47.737154}  
Iteration 8:{space 3}log pseudolikelihood = {res:-47.737154}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     1,499
{txt}{col 49}Wald chi2({res}13{txt}){col 67}= {res}    156.89
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-47.737154{txt}{col 49}Pseudo R2{col 67}= {res}    0.3606

{txt}{ralign 84:(Std. Err. adjusted for {res:130} clusters in ccode)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}usintervene_human1{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}physint {c |}{col 20}{res}{space 2}-.3710769{col 32}{space 2} .1676086{col 43}{space 1}   -2.21{col 52}{space 3}0.027{col 60}{space 4}-.6995837{col 73}{space 3}-.0425701
{txt}{space 13}nythr {c |}{col 20}{res}{space 2}  .062805{col 32}{space 2} .0206429{col 43}{space 1}    3.04{col 52}{space 3}0.002{col 60}{space 4} .0223456{col 73}{space 3} .1032645
{txt}{space 5}physint_nythr {c |}{col 20}{res}{space 2}-.0081051{col 32}{space 2} .0062801{col 43}{space 1}   -1.29{col 52}{space 3}0.197{col 60}{space 4}-.0204139{col 73}{space 3} .0042036
{txt}{space 6}senate_score {c |}{col 20}{res}{space 2} .2156438{col 32}{space 2} .0982045{col 43}{space 1}    2.20{col 52}{space 3}0.028{col 60}{space 4} .0231664{col 73}{space 3} .4081211
{txt}{space 6}senate_nythr {c |}{col 20}{res}{space 2}-.0275253{col 32}{space 2} .0153125{col 43}{space 1}   -1.80{col 52}{space 3}0.072{col 60}{space 4}-.0575373{col 73}{space 3} .0024867
{txt}{space 11}polity2 {c |}{col 20}{res}{space 2} .0502736{col 32}{space 2} .0518267{col 43}{space 1}    0.97{col 52}{space 3}0.332{col 60}{space 4}-.0513049{col 73}{space 3} .1518522
{txt}{space 9}log_gdppc {c |}{col 20}{res}{space 2}-.1952542{col 32}{space 2} .2551378{col 43}{space 1}   -0.77{col 52}{space 3}0.444{col 60}{space 4}-.6953151{col 73}{space 3} .3048067
{txt}{space 9}us_allied {c |}{col 20}{res}{space 2} .2324047{col 32}{space 2} .8028249{col 43}{space 1}    0.29{col 52}{space 3}0.772{col 60}{space 4}-1.341103{col 73}{space 3} 1.805913
{txt}us_distance_logged {c |}{col 20}{res}{space 2} .6645056{col 32}{space 2} .8888106{col 43}{space 1}    0.75{col 52}{space 3}0.455{col 60}{space 4}-1.077531{col 73}{space 3} 2.406542
{txt}{space 1}usintervene_human {c |}{col 20}{res}{space 2} 3.809177{col 32}{space 2} 1.153858{col 43}{space 1}    3.30{col 52}{space 3}0.001{col 60}{space 4} 1.547656{col 73}{space 3} 6.070698
{txt}{space 5}oil_petroleum {c |}{col 20}{res}{space 2}-.0078022{col 32}{space 2} .0034938{col 43}{space 1}   -2.23{col 52}{space 3}0.026{col 60}{space 4}-.0146498{col 73}{space 3}-.0009545
{txt}{space 10}military {c |}{col 20}{res}{space 2} -.002531{col 32}{space 2} .0020184{col 43}{space 1}   -1.25{col 52}{space 3}0.210{col 60}{space 4} -.006487{col 73}{space 3} .0014251
{txt}{space 7}onset2cv410 {c |}{col 20}{res}{space 2} .5982846{col 32}{space 2} .9450094{col 43}{space 1}    0.63{col 52}{space 3}0.527{col 60}{space 4}  -1.2539{col 73}{space 3} 2.450469
{txt}{space 13}_cons {c |}{col 20}{res}{space 2}-8.741938{col 32}{space 2} 9.201817{col 43}{space 1}   -0.95{col 52}{space 3}0.342{col 60}{space 4}-26.77717{col 73}{space 3} 9.293291
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 51 failures and 0 successes completely determined.{p_end}

{com}.  est store mod3
{txt}
{com}. logit usintervene_human1 physint nythr physint_nythr senate_score senate_nythr polity2 log_gdppc us_allied us_distance_logged usintervene_human oil_petroleum military onset2cv410 americas africa asia oceanania, cluster(ccode)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-74.662319}  
Iteration 1:{space 3}log pseudolikelihood = {res: -61.75284}  
Iteration 2:{space 3}log pseudolikelihood = {res:-53.041218}  
Iteration 3:{space 3}log pseudolikelihood = {res:-47.012618}  
Iteration 4:{space 3}log pseudolikelihood = {res:-45.880169}  
Iteration 5:{space 3}log pseudolikelihood = {res: -45.72919}  
Iteration 6:{space 3}log pseudolikelihood = {res:-45.726789}  
Iteration 7:{space 3}log pseudolikelihood = {res:-45.726781}  
Iteration 8:{space 3}log pseudolikelihood = {res:-45.726781}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     1,499
{txt}{col 49}Wald chi2({res}17{txt}){col 67}= {res}    192.15
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-45.726781{txt}{col 49}Pseudo R2{col 67}= {res}    0.3876

{txt}{ralign 84:(Std. Err. adjusted for {res:130} clusters in ccode)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}usintervene_human1{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}physint {c |}{col 20}{res}{space 2}-.3755044{col 32}{space 2} .1966663{col 43}{space 1}   -1.91{col 52}{space 3}0.056{col 60}{space 4}-.7609631{col 73}{space 3} .0099544
{txt}{space 13}nythr {c |}{col 20}{res}{space 2} .0525321{col 32}{space 2} .0214372{col 43}{space 1}    2.45{col 52}{space 3}0.014{col 60}{space 4} .0105161{col 73}{space 3} .0945482
{txt}{space 5}physint_nythr {c |}{col 20}{res}{space 2}-.0046058{col 32}{space 2} .0066379{col 43}{space 1}   -0.69{col 52}{space 3}0.488{col 60}{space 4}-.0176158{col 73}{space 3} .0084042
{txt}{space 6}senate_score {c |}{col 20}{res}{space 2} .2152455{col 32}{space 2} .0954107{col 43}{space 1}    2.26{col 52}{space 3}0.024{col 60}{space 4}  .028244{col 73}{space 3} .4022469
{txt}{space 6}senate_nythr {c |}{col 20}{res}{space 2}-.0288141{col 32}{space 2} .0151376{col 43}{space 1}   -1.90{col 52}{space 3}0.057{col 60}{space 4}-.0584832{col 73}{space 3}  .000855
{txt}{space 11}polity2 {c |}{col 20}{res}{space 2} .0379001{col 32}{space 2} .0506706{col 43}{space 1}    0.75{col 52}{space 3}0.454{col 60}{space 4}-.0614124{col 73}{space 3} .1372126
{txt}{space 9}log_gdppc {c |}{col 20}{res}{space 2}-.4990209{col 32}{space 2} .4804211{col 43}{space 1}   -1.04{col 52}{space 3}0.299{col 60}{space 4}-1.440629{col 73}{space 3} .4425871
{txt}{space 9}us_allied {c |}{col 20}{res}{space 2}-.1602553{col 32}{space 2} .6822777{col 43}{space 1}   -0.23{col 52}{space 3}0.814{col 60}{space 4}-1.497495{col 73}{space 3} 1.176984
{txt}us_distance_logged {c |}{col 20}{res}{space 2}-.5133965{col 32}{space 2} .7029666{col 43}{space 1}   -0.73{col 52}{space 3}0.465{col 60}{space 4}-1.891186{col 73}{space 3} .8643928
{txt}{space 1}usintervene_human {c |}{col 20}{res}{space 2} 3.541026{col 32}{space 2} 1.132509{col 43}{space 1}    3.13{col 52}{space 3}0.002{col 60}{space 4} 1.321349{col 73}{space 3} 5.760702
{txt}{space 5}oil_petroleum {c |}{col 20}{res}{space 2} -.006839{col 32}{space 2} .0060676{col 43}{space 1}   -1.13{col 52}{space 3}0.260{col 60}{space 4}-.0187312{col 73}{space 3} .0050532
{txt}{space 10}military {c |}{col 20}{res}{space 2}-.0023176{col 32}{space 2} .0018105{col 43}{space 1}   -1.28{col 52}{space 3}0.201{col 60}{space 4}-.0058661{col 73}{space 3} .0012309
{txt}{space 7}onset2cv410 {c |}{col 20}{res}{space 2} .3941098{col 32}{space 2} 1.026303{col 43}{space 1}    0.38{col 52}{space 3}0.701{col 60}{space 4}-1.617408{col 73}{space 3} 2.405627
{txt}{space 10}americas {c |}{col 20}{res}{space 2} -.074803{col 32}{space 2} 1.428845{col 43}{space 1}   -0.05{col 52}{space 3}0.958{col 60}{space 4}-2.875288{col 73}{space 3} 2.725682
{txt}{space 12}africa {c |}{col 20}{res}{space 2}-.5601249{col 32}{space 2} 1.685131{col 43}{space 1}   -0.33{col 52}{space 3}0.740{col 60}{space 4}-3.862922{col 73}{space 3} 2.742672
{txt}{space 14}asia {c |}{col 20}{res}{space 2} 1.326072{col 32}{space 2} 1.152807{col 43}{space 1}    1.15{col 52}{space 3}0.250{col 60}{space 4}-.9333891{col 73}{space 3} 3.585533
{txt}{space 9}oceanania {c |}{col 20}{res}{space 2} 2.214421{col 32}{space 2}  1.24627{col 43}{space 1}    1.78{col 52}{space 3}0.076{col 60}{space 4}-.2282241{col 73}{space 3} 4.657065
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} 4.578245{col 32}{space 2} 9.570131{col 43}{space 1}    0.48{col 52}{space 3}0.632{col 60}{space 4}-14.17887{col 73}{space 3} 23.33536
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 40 failures and 0 successes completely determined.{p_end}

{com}.  est store mod4
{txt}
{com}. *amnesty
. ********************* logit with clustering
. logit usintervene_human1 amnesty nythr amnesty_nythr senate_score senate_nythr polity2 log_gdppc us_allied us_distance_logged usintervene_human oil_petroleum military onset2cv410, cluster(ccode)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-86.916766}  
Iteration 1:{space 3}log pseudolikelihood = {res:-86.748699}  
Iteration 2:{space 3}log pseudolikelihood = {res:-72.410699}  
Iteration 3:{space 3}log pseudolikelihood = {res:-63.208598}  
Iteration 4:{space 3}log pseudolikelihood = {res:-54.579307}  
Iteration 5:{space 3}log pseudolikelihood = {res:-52.208954}  
Iteration 6:{space 3}log pseudolikelihood = {res:-51.791729}  
Iteration 7:{space 3}log pseudolikelihood = {res:-51.772933}  
Iteration 8:{space 3}log pseudolikelihood = {res: -51.77285}  
Iteration 9:{space 3}log pseudolikelihood = {res: -51.77285}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     1,354
{txt}{col 49}Wald chi2({res}13{txt}){col 67}= {res}     79.01
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res} -51.77285{txt}{col 49}Pseudo R2{col 67}= {res}    0.4043

{txt}{ralign 84:(Std. Err. adjusted for {res:130} clusters in ccode)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}usintervene_human1{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}amnesty {c |}{col 20}{res}{space 2} 1.269756{col 32}{space 2} .4822148{col 43}{space 1}    2.63{col 52}{space 3}0.008{col 60}{space 4} .3246322{col 73}{space 3}  2.21488
{txt}{space 13}nythr {c |}{col 20}{res}{space 2} .0389087{col 32}{space 2} .0533912{col 43}{space 1}    0.73{col 52}{space 3}0.466{col 60}{space 4}-.0657361{col 73}{space 3} .1435536
{txt}{space 5}amnesty_nythr {c |}{col 20}{res}{space 2} .0022183{col 32}{space 2} .0150714{col 43}{space 1}    0.15{col 52}{space 3}0.883{col 60}{space 4} -.027321{col 73}{space 3} .0317576
{txt}{space 6}senate_score {c |}{col 20}{res}{space 2} .1749999{col 32}{space 2} .1103751{col 43}{space 1}    1.59{col 52}{space 3}0.113{col 60}{space 4}-.0413313{col 73}{space 3} .3913311
{txt}{space 6}senate_nythr {c |}{col 20}{res}{space 2}-.0260394{col 32}{space 2} .0133881{col 43}{space 1}   -1.94{col 52}{space 3}0.052{col 60}{space 4}-.0522796{col 73}{space 3} .0002007
{txt}{space 11}polity2 {c |}{col 20}{res}{space 2} .0274036{col 32}{space 2}  .054983{col 43}{space 1}    0.50{col 52}{space 3}0.618{col 60}{space 4}-.0803612{col 73}{space 3} .1351683
{txt}{space 9}log_gdppc {c |}{col 20}{res}{space 2}-.0266286{col 32}{space 2} .2113395{col 43}{space 1}   -0.13{col 52}{space 3}0.900{col 60}{space 4}-.4408464{col 73}{space 3} .3875892
{txt}{space 9}us_allied {c |}{col 20}{res}{space 2}-.1112588{col 32}{space 2} .8893071{col 43}{space 1}   -0.13{col 52}{space 3}0.900{col 60}{space 4}-1.854269{col 73}{space 3} 1.631751
{txt}us_distance_logged {c |}{col 20}{res}{space 2} .5141961{col 32}{space 2} 1.053647{col 43}{space 1}    0.49{col 52}{space 3}0.626{col 60}{space 4}-1.550914{col 73}{space 3} 2.579307
{txt}{space 1}usintervene_human {c |}{col 20}{res}{space 2} 3.216257{col 32}{space 2} .9172328{col 43}{space 1}    3.51{col 52}{space 3}0.000{col 60}{space 4} 1.418514{col 73}{space 3}    5.014
{txt}{space 5}oil_petroleum {c |}{col 20}{res}{space 2}-.0091241{col 32}{space 2} .0038577{col 43}{space 1}   -2.37{col 52}{space 3}0.018{col 60}{space 4} -.016685{col 73}{space 3}-.0015632
{txt}{space 10}military {c |}{col 20}{res}{space 2}-.0028741{col 32}{space 2} .0022269{col 43}{space 1}   -1.29{col 52}{space 3}0.197{col 60}{space 4}-.0072387{col 73}{space 3} .0014905
{txt}{space 7}onset2cv410 {c |}{col 20}{res}{space 2} .5269474{col 32}{space 2} .9349553{col 43}{space 1}    0.56{col 52}{space 3}0.573{col 60}{space 4}-1.305531{col 73}{space 3} 2.359426
{txt}{space 13}_cons {c |}{col 20}{res}{space 2}-14.10652{col 32}{space 2} 10.09277{col 43}{space 1}   -1.40{col 52}{space 3}0.162{col 60}{space 4}-33.88798{col 73}{space 3} 5.674937
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 44 failures and 0 successes completely determined.{p_end}

{com}.  est store mod5
{txt}
{com}. logit usintervene_human1 amnesty nythr amnesty_nythr senate_score senate_nythr polity2 log_gdppc us_allied us_distance_logged usintervene_human oil_petroleum military onset2cv410 americas africa asia oceanania, cluster(ccode)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-86.916766}  
Iteration 1:{space 3}log pseudolikelihood = {res:-85.356242}  
Iteration 2:{space 3}log pseudolikelihood = {res:-70.814601}  
Iteration 3:{space 3}log pseudolikelihood = {res:-61.556474}  
Iteration 4:{space 3}log pseudolikelihood = {res:-52.307301}  
Iteration 5:{space 3}log pseudolikelihood = {res: -49.15546}  
Iteration 6:{space 3}log pseudolikelihood = {res:  -48.5756}  
Iteration 7:{space 3}log pseudolikelihood = {res:-48.552885}  
Iteration 8:{space 3}log pseudolikelihood = {res:-48.552796}  
Iteration 9:{space 3}log pseudolikelihood = {res:-48.552796}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     1,354
{txt}{col 49}Wald chi2({res}17{txt}){col 67}= {res}    112.52
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-48.552796{txt}{col 49}Pseudo R2{col 67}= {res}    0.4414

{txt}{ralign 84:(Std. Err. adjusted for {res:130} clusters in ccode)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}usintervene_human1{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}amnesty {c |}{col 20}{res}{space 2} 1.480098{col 32}{space 2} .4368967{col 43}{space 1}    3.39{col 52}{space 3}0.001{col 60}{space 4} .6237959{col 73}{space 3}   2.3364
{txt}{space 13}nythr {c |}{col 20}{res}{space 2} .0632965{col 32}{space 2}  .050392{col 43}{space 1}    1.26{col 52}{space 3}0.209{col 60}{space 4}-.0354701{col 73}{space 3} .1620631
{txt}{space 5}amnesty_nythr {c |}{col 20}{res}{space 2}-.0049101{col 32}{space 2} .0143094{col 43}{space 1}   -0.34{col 52}{space 3}0.731{col 60}{space 4} -.032956{col 73}{space 3} .0231358
{txt}{space 6}senate_score {c |}{col 20}{res}{space 2} .2157833{col 32}{space 2} .1240622{col 43}{space 1}    1.74{col 52}{space 3}0.082{col 60}{space 4}-.0273741{col 73}{space 3} .4589407
{txt}{space 6}senate_nythr {c |}{col 20}{res}{space 2}-.0297417{col 32}{space 2} .0133695{col 43}{space 1}   -2.22{col 52}{space 3}0.026{col 60}{space 4}-.0559455{col 73}{space 3} -.003538
{txt}{space 11}polity2 {c |}{col 20}{res}{space 2} .0106898{col 32}{space 2} .0517816{col 43}{space 1}    0.21{col 52}{space 3}0.836{col 60}{space 4}-.0908003{col 73}{space 3} .1121799
{txt}{space 9}log_gdppc {c |}{col 20}{res}{space 2}-.3307683{col 32}{space 2}  .438547{col 43}{space 1}   -0.75{col 52}{space 3}0.451{col 60}{space 4}-1.190305{col 73}{space 3} .5287679
{txt}{space 9}us_allied {c |}{col 20}{res}{space 2}-.3693907{col 32}{space 2} .7969242{col 43}{space 1}   -0.46{col 52}{space 3}0.643{col 60}{space 4}-1.931333{col 73}{space 3} 1.192552
{txt}us_distance_logged {c |}{col 20}{res}{space 2}-.6924159{col 32}{space 2} .5886749{col 43}{space 1}   -1.18{col 52}{space 3}0.240{col 60}{space 4}-1.846198{col 73}{space 3} .4613656
{txt}{space 1}usintervene_human {c |}{col 20}{res}{space 2} 3.180244{col 32}{space 2}  .928921{col 43}{space 1}    3.42{col 52}{space 3}0.001{col 60}{space 4} 1.359592{col 73}{space 3} 5.000896
{txt}{space 5}oil_petroleum {c |}{col 20}{res}{space 2}-.0082215{col 32}{space 2} .0056165{col 43}{space 1}   -1.46{col 52}{space 3}0.143{col 60}{space 4}-.0192296{col 73}{space 3} .0027867
{txt}{space 10}military {c |}{col 20}{res}{space 2} -.002765{col 32}{space 2} .0022993{col 43}{space 1}   -1.20{col 52}{space 3}0.229{col 60}{space 4}-.0072715{col 73}{space 3} .0017416
{txt}{space 7}onset2cv410 {c |}{col 20}{res}{space 2} .3075857{col 32}{space 2} 1.002436{col 43}{space 1}    0.31{col 52}{space 3}0.759{col 60}{space 4}-1.657152{col 73}{space 3} 2.272323
{txt}{space 10}americas {c |}{col 20}{res}{space 2}-.1938352{col 32}{space 2} 1.286987{col 43}{space 1}   -0.15{col 52}{space 3}0.880{col 60}{space 4}-2.716284{col 73}{space 3} 2.328614
{txt}{space 12}africa {c |}{col 20}{res}{space 2}-.9433425{col 32}{space 2} 1.233427{col 43}{space 1}   -0.76{col 52}{space 3}0.444{col 60}{space 4}-3.360815{col 73}{space 3}  1.47413
{txt}{space 14}asia {c |}{col 20}{res}{space 2} 1.152046{col 32}{space 2}  .887965{col 43}{space 1}    1.30{col 52}{space 3}0.194{col 60}{space 4}-.5883334{col 73}{space 3} 2.892426
{txt}{space 9}oceanania {c |}{col 20}{res}{space 2}  3.00121{col 32}{space 2} 1.198978{col 43}{space 1}    2.50{col 52}{space 3}0.012{col 60}{space 4} .6512554{col 73}{space 3} 5.351164
{txt}{space 13}_cons {c |}{col 20}{res}{space 2}-1.229789{col 32}{space 2} 6.967843{col 43}{space 1}   -0.18{col 52}{space 3}0.860{col 60}{space 4}-14.88651{col 73}{space 3} 12.42693
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 37 failures and 0 successes completely determined.{p_end}

{com}.  est store mod6
{txt}
{com}.  esttab mod*, b(3) se(3) stats(N ll r2) keep(latentmean nythr latentmean_nythr senate_score senate_nythr polity2 log_gdppc us_allied us_distance_logged oil_petroleum military onset2cv410 usintervene_human americas africa asia oceanania physint physint_nythr amnesty amnesty_nythr _cons)
{res}
{txt}{hline 108}
{txt}                      (1)             (2)             (3)             (4)             (5)             (6)   
{txt}             usinterven~1    usinterven~1    usinterven~1    usinterven~1    usinterven~1    usinterven~1   
{txt}{hline 108}
{res}usinterven~1                                                                                                {txt}
{txt}latentmean  {res}       -1.329***       -1.587**                                                                 {txt}
            {res} {ralign 12:{txt:(}0.351{txt:)}}    {ralign 12:{txt:(}0.490{txt:)}}                                                                   {txt}

{txt}nythr       {res}        0.027           0.036*          0.063**         0.053*          0.039           0.063   {txt}
            {res} {ralign 12:{txt:(}0.015{txt:)}}    {ralign 12:{txt:(}0.016{txt:)}}    {ralign 12:{txt:(}0.021{txt:)}}    {ralign 12:{txt:(}0.021{txt:)}}    {ralign 12:{txt:(}0.053{txt:)}}    {ralign 12:{txt:(}0.050{txt:)}}   {txt}

{txt}latentmean~r{res}       -0.018          -0.005                                                                   {txt}
            {res} {ralign 12:{txt:(}0.017{txt:)}}    {ralign 12:{txt:(}0.016{txt:)}}                                                                   {txt}

{txt}senate_score{res}        0.164           0.164           0.216*          0.215*          0.175           0.216   {txt}
            {res} {ralign 12:{txt:(}0.104{txt:)}}    {ralign 12:{txt:(}0.102{txt:)}}    {ralign 12:{txt:(}0.098{txt:)}}    {ralign 12:{txt:(}0.095{txt:)}}    {ralign 12:{txt:(}0.110{txt:)}}    {ralign 12:{txt:(}0.124{txt:)}}   {txt}

{txt}senate_nythr{res}       -0.026          -0.028          -0.028          -0.029          -0.026          -0.030*  {txt}
            {res} {ralign 12:{txt:(}0.015{txt:)}}    {ralign 12:{txt:(}0.015{txt:)}}    {ralign 12:{txt:(}0.015{txt:)}}    {ralign 12:{txt:(}0.015{txt:)}}    {ralign 12:{txt:(}0.013{txt:)}}    {ralign 12:{txt:(}0.013{txt:)}}   {txt}

{txt}polity2     {res}        0.057           0.035           0.050           0.038           0.027           0.011   {txt}
            {res} {ralign 12:{txt:(}0.053{txt:)}}    {ralign 12:{txt:(}0.052{txt:)}}    {ralign 12:{txt:(}0.052{txt:)}}    {ralign 12:{txt:(}0.051{txt:)}}    {ralign 12:{txt:(}0.055{txt:)}}    {ralign 12:{txt:(}0.052{txt:)}}   {txt}

{txt}log_gdppc   {res}        0.030          -0.129          -0.195          -0.499          -0.027          -0.331   {txt}
            {res} {ralign 12:{txt:(}0.209{txt:)}}    {ralign 12:{txt:(}0.429{txt:)}}    {ralign 12:{txt:(}0.255{txt:)}}    {ralign 12:{txt:(}0.480{txt:)}}    {ralign 12:{txt:(}0.211{txt:)}}    {ralign 12:{txt:(}0.439{txt:)}}   {txt}

{txt}us_allied   {res}       -0.335          -0.441           0.232          -0.160          -0.111          -0.369   {txt}
            {res} {ralign 12:{txt:(}0.809{txt:)}}    {ralign 12:{txt:(}0.727{txt:)}}    {ralign 12:{txt:(}0.803{txt:)}}    {ralign 12:{txt:(}0.682{txt:)}}    {ralign 12:{txt:(}0.889{txt:)}}    {ralign 12:{txt:(}0.797{txt:)}}   {txt}

{txt}us_distanc~d{res}        0.291          -0.889           0.665          -0.513           0.514          -0.692   {txt}
            {res} {ralign 12:{txt:(}0.862{txt:)}}    {ralign 12:{txt:(}0.648{txt:)}}    {ralign 12:{txt:(}0.889{txt:)}}    {ralign 12:{txt:(}0.703{txt:)}}    {ralign 12:{txt:(}1.054{txt:)}}    {ralign 12:{txt:(}0.589{txt:)}}   {txt}

{txt}usinterven~n{res}        3.215***        3.115***        3.809***        3.541**         3.216***        3.180***{txt}
            {res} {ralign 12:{txt:(}0.833{txt:)}}    {ralign 12:{txt:(}0.850{txt:)}}    {ralign 12:{txt:(}1.154{txt:)}}    {ralign 12:{txt:(}1.133{txt:)}}    {ralign 12:{txt:(}0.917{txt:)}}    {ralign 12:{txt:(}0.929{txt:)}}   {txt}

{txt}oil_petrol~m{res}       -0.011**        -0.010          -0.008*         -0.007          -0.009*         -0.008   {txt}
            {res} {ralign 12:{txt:(}0.004{txt:)}}    {ralign 12:{txt:(}0.006{txt:)}}    {ralign 12:{txt:(}0.003{txt:)}}    {ralign 12:{txt:(}0.006{txt:)}}    {ralign 12:{txt:(}0.004{txt:)}}    {ralign 12:{txt:(}0.006{txt:)}}   {txt}

{txt}military    {res}       -0.003          -0.003          -0.003          -0.002          -0.003          -0.003   {txt}
            {res} {ralign 12:{txt:(}0.003{txt:)}}    {ralign 12:{txt:(}0.002{txt:)}}    {ralign 12:{txt:(}0.002{txt:)}}    {ralign 12:{txt:(}0.002{txt:)}}    {ralign 12:{txt:(}0.002{txt:)}}    {ralign 12:{txt:(}0.002{txt:)}}   {txt}

{txt}onset2cv410 {res}        0.359           0.243           0.598           0.394           0.527           0.308   {txt}
            {res} {ralign 12:{txt:(}0.947{txt:)}}    {ralign 12:{txt:(}0.983{txt:)}}    {ralign 12:{txt:(}0.945{txt:)}}    {ralign 12:{txt:(}1.026{txt:)}}    {ralign 12:{txt:(}0.935{txt:)}}    {ralign 12:{txt:(}1.002{txt:)}}   {txt}

{txt}americas    {res}                       -0.447                          -0.075                          -0.194   {txt}
            {res}                 {ralign 12:{txt:(}1.227{txt:)}}                    {ralign 12:{txt:(}1.429{txt:)}}                    {ralign 12:{txt:(}1.287{txt:)}}   {txt}

{txt}africa      {res}                       -0.371                          -0.560                          -0.943   {txt}
            {res}                 {ralign 12:{txt:(}1.324{txt:)}}                    {ralign 12:{txt:(}1.685{txt:)}}                    {ralign 12:{txt:(}1.233{txt:)}}   {txt}

{txt}asia        {res}                        1.143                           1.326                           1.152   {txt}
            {res}                 {ralign 12:{txt:(}0.954{txt:)}}                    {ralign 12:{txt:(}1.153{txt:)}}                    {ralign 12:{txt:(}0.888{txt:)}}   {txt}

{txt}oceanania   {res}                        2.828*                          2.214                           3.001*  {txt}
            {res}                 {ralign 12:{txt:(}1.342{txt:)}}                    {ralign 12:{txt:(}1.246{txt:)}}                    {ralign 12:{txt:(}1.199{txt:)}}   {txt}

{txt}physint     {res}                                       -0.371*         -0.376                                   {txt}
            {res}                                 {ralign 12:{txt:(}0.168{txt:)}}    {ralign 12:{txt:(}0.197{txt:)}}                                   {txt}

{txt}physint_ny~r{res}                                       -0.008          -0.005                                   {txt}
            {res}                                 {ralign 12:{txt:(}0.006{txt:)}}    {ralign 12:{txt:(}0.007{txt:)}}                                   {txt}

{txt}amnesty     {res}                                                                        1.270**         1.480***{txt}
            {res}                                                                 {ralign 12:{txt:(}0.482{txt:)}}    {ralign 12:{txt:(}0.437{txt:)}}   {txt}

{txt}amnesty_ny~r{res}                                                                        0.002          -0.005   {txt}
            {res}                                                                 {ralign 12:{txt:(}0.015{txt:)}}    {ralign 12:{txt:(}0.014{txt:)}}   {txt}

{txt}_cons       {res}       -8.857           3.088          -8.742           4.578         -14.107          -1.230   {txt}
            {res} {ralign 12:{txt:(}8.749{txt:)}}    {ralign 12:{txt:(}7.053{txt:)}}    {ralign 12:{txt:(}9.202{txt:)}}    {ralign 12:{txt:(}9.570{txt:)}}    {ralign 12:{txt:(}10.093{txt:)}}    {ralign 12:{txt:(}6.968{txt:)}}   {txt}
{txt}{hline 108}
{txt}N           {res}     1549.000        1549.000        1499.000        1499.000        1354.000        1354.000   {txt}
{txt}ll          {res}      -51.986         -49.851         -47.737         -45.727         -51.773         -48.553   {txt}
{txt}r2          {res}                                                                                                {txt}
{txt}{hline 108}
{txt}Standard errors in parentheses
{txt}* p<0.05, ** p<0.01, *** p<0.001

{com}. estimates clear
{txt}
{com}. 
. 
. ******************* Appendix 4 *******************
. *Fariss' human rights index
. ********************* logit with clustering
. logit usintervene_human1 latentmean avmdia latentmean_avmdia senate_score senate_avmdia polity2 log_gdppc us_allied us_distance_logged usintervene_human oil_petroleum military onset2cv410, cluster(ccode)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:  -51.6038}  
Iteration 1:{space 3}log pseudolikelihood = {res:-39.466099}  
Iteration 2:{space 3}log pseudolikelihood = {res:-32.635741}  
Iteration 3:{space 3}log pseudolikelihood = {res:-28.744409}  
Iteration 4:{space 3}log pseudolikelihood = {res:-27.477976}  
Iteration 5:{space 3}log pseudolikelihood = {res:-27.143213}  
Iteration 6:{space 3}log pseudolikelihood = {res:-27.132944}  
Iteration 7:{space 3}log pseudolikelihood = {res: -27.13254}  
Iteration 8:{space 3}log pseudolikelihood = {res:-27.132539}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     1,028
{txt}{col 49}Wald chi2({res}13{txt}){col 67}= {res}    102.28
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-27.132539{txt}{col 49}Pseudo R2{col 67}= {res}    0.4742

{txt}{ralign 84:(Std. Err. adjusted for {res:130} clusters in ccode)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}usintervene_human1{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}latentmean {c |}{col 20}{res}{space 2}-1.574838{col 32}{space 2} .7158475{col 43}{space 1}   -2.20{col 52}{space 3}0.028{col 60}{space 4}-2.977873{col 73}{space 3}-.1718025
{txt}{space 12}avmdia {c |}{col 20}{res}{space 2} -4.78332{col 32}{space 2} 1.940537{col 43}{space 1}   -2.46{col 52}{space 3}0.014{col 60}{space 4}-8.586702{col 73}{space 3}-.9799376
{txt}{space 1}latentmean_avmdia {c |}{col 20}{res}{space 2}-4.560614{col 32}{space 2}  1.63985{col 43}{space 1}   -2.78{col 52}{space 3}0.005{col 60}{space 4}-7.774662{col 73}{space 3}-1.346567
{txt}{space 6}senate_score {c |}{col 20}{res}{space 2} .0935571{col 32}{space 2} .1044167{col 43}{space 1}    0.90{col 52}{space 3}0.370{col 60}{space 4}-.1110959{col 73}{space 3}   .29821
{txt}{space 5}senate_avmdia {c |}{col 20}{res}{space 2}-.6107844{col 32}{space 2} .2463381{col 43}{space 1}   -2.48{col 52}{space 3}0.013{col 60}{space 4}-1.093598{col 73}{space 3}-.1279707
{txt}{space 11}polity2 {c |}{col 20}{res}{space 2} .0650411{col 32}{space 2} .0823838{col 43}{space 1}    0.79{col 52}{space 3}0.430{col 60}{space 4}-.0964282{col 73}{space 3} .2265103
{txt}{space 9}log_gdppc {c |}{col 20}{res}{space 2}-.4461202{col 32}{space 2} .3729781{col 43}{space 1}   -1.20{col 52}{space 3}0.232{col 60}{space 4}-1.177144{col 73}{space 3} .2849035
{txt}{space 9}us_allied {c |}{col 20}{res}{space 2}-2.033158{col 32}{space 2} 1.885977{col 43}{space 1}   -1.08{col 52}{space 3}0.281{col 60}{space 4}-5.729605{col 73}{space 3} 1.663288
{txt}us_distance_logged {c |}{col 20}{res}{space 2}-1.539364{col 32}{space 2} 1.390429{col 43}{space 1}   -1.11{col 52}{space 3}0.268{col 60}{space 4}-4.264555{col 73}{space 3} 1.185828
{txt}{space 1}usintervene_human {c |}{col 20}{res}{space 2} 1.966656{col 32}{space 2} 1.062408{col 43}{space 1}    1.85{col 52}{space 3}0.064{col 60}{space 4}-.1156258{col 73}{space 3} 4.048938
{txt}{space 5}oil_petroleum {c |}{col 20}{res}{space 2}-.0147488{col 32}{space 2} .0122552{col 43}{space 1}   -1.20{col 52}{space 3}0.229{col 60}{space 4}-.0387686{col 73}{space 3}  .009271
{txt}{space 10}military {c |}{col 20}{res}{space 2}-.0074552{col 32}{space 2} .0107407{col 43}{space 1}   -0.69{col 52}{space 3}0.488{col 60}{space 4}-.0285067{col 73}{space 3} .0135962
{txt}{space 7}onset2cv410 {c |}{col 20}{res}{space 2}-2.365299{col 32}{space 2} .7263379{col 43}{space 1}   -3.26{col 52}{space 3}0.001{col 60}{space 4}-3.788895{col 73}{space 3}-.9417024
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} 11.90577{col 32}{space 2}  12.8786{col 43}{space 1}    0.92{col 52}{space 3}0.355{col 60}{space 4}-13.33582{col 73}{space 3} 37.14736
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 103 failures and 0 successes completely determined.{p_end}

{com}.  est store mod1
{txt}
{com}. logit usintervene_human1 latentmean avmdia latentmean_avmdia senate_score senate_avmdia polity2 log_gdppc us_allied us_distance_logged usintervene_human oil_petroleum military onset2cv410 americas africa asia oceanania, cluster(ccode)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:  -51.6038}  
Iteration 1:{space 3}log pseudolikelihood = {res:-38.592992}  
Iteration 2:{space 3}log pseudolikelihood = {res:-29.945472}  
Iteration 3:{space 3}log pseudolikelihood = {res:-24.368749}  
Iteration 4:{space 3}log pseudolikelihood = {res:-23.354678}  
Iteration 5:{space 3}log pseudolikelihood = {res:-22.970586}  
Iteration 6:{space 3}log pseudolikelihood = {res:-22.943986}  
Iteration 7:{space 3}log pseudolikelihood = {res:-22.941612}  
Iteration 8:{space 3}log pseudolikelihood = {res:-22.941111}  
Iteration 9:{space 3}log pseudolikelihood = {res:-22.940988}  
Iteration 10:{space 2}log pseudolikelihood = {res:-22.940965}  
Iteration 11:{space 2}log pseudolikelihood = {res: -22.94096}  
Iteration 12:{space 2}log pseudolikelihood = {res:-22.940958}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     1,028
{txt}{col 49}Wald chi2({res}17{txt}){col 67}= {res}    627.46
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-22.940958{txt}{col 49}Pseudo R2{col 67}= {res}    0.5554

{txt}{ralign 84:(Std. Err. adjusted for {res:130} clusters in ccode)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}usintervene_human1{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}latentmean {c |}{col 20}{res}{space 2}-1.892366{col 32}{space 2} 1.141663{col 43}{space 1}   -1.66{col 52}{space 3}0.097{col 60}{space 4}-4.129985{col 73}{space 3} .3452531
{txt}{space 12}avmdia {c |}{col 20}{res}{space 2}-1.975512{col 32}{space 2} 1.624914{col 43}{space 1}   -1.22{col 52}{space 3}0.224{col 60}{space 4}-5.160284{col 73}{space 3} 1.209261
{txt}{space 1}latentmean_avmdia {c |}{col 20}{res}{space 2}-2.681586{col 32}{space 2}  1.02141{col 43}{space 1}   -2.63{col 52}{space 3}0.009{col 60}{space 4}-4.683513{col 73}{space 3}-.6796601
{txt}{space 6}senate_score {c |}{col 20}{res}{space 2} .1254788{col 32}{space 2}    .1516{col 43}{space 1}    0.83{col 52}{space 3}0.408{col 60}{space 4}-.1716517{col 73}{space 3} .4226093
{txt}{space 5}senate_avmdia {c |}{col 20}{res}{space 2}-.5062908{col 32}{space 2} .2622518{col 43}{space 1}   -1.93{col 52}{space 3}0.054{col 60}{space 4}-1.020295{col 73}{space 3} .0077133
{txt}{space 11}polity2 {c |}{col 20}{res}{space 2}    .0705{col 32}{space 2} .0728911{col 43}{space 1}    0.97{col 52}{space 3}0.333{col 60}{space 4} -.072364{col 73}{space 3}  .213364
{txt}{space 9}log_gdppc {c |}{col 20}{res}{space 2}  -1.2963{col 32}{space 2} 1.031227{col 43}{space 1}   -1.26{col 52}{space 3}0.209{col 60}{space 4}-3.317468{col 73}{space 3} .7248673
{txt}{space 9}us_allied {c |}{col 20}{res}{space 2}-11.54011{col 32}{space 2} 13.12835{col 43}{space 1}   -0.88{col 52}{space 3}0.379{col 60}{space 4} -37.2712{col 73}{space 3} 14.19097
{txt}us_distance_logged {c |}{col 20}{res}{space 2}-3.261118{col 32}{space 2} 4.061624{col 43}{space 1}   -0.80{col 52}{space 3}0.422{col 60}{space 4}-11.22175{col 73}{space 3} 4.699518
{txt}{space 1}usintervene_human {c |}{col 20}{res}{space 2} .7447452{col 32}{space 2} 1.192263{col 43}{space 1}    0.62{col 52}{space 3}0.532{col 60}{space 4}-1.592047{col 73}{space 3} 3.081538
{txt}{space 5}oil_petroleum {c |}{col 20}{res}{space 2}-.0296833{col 32}{space 2} .0397009{col 43}{space 1}   -0.75{col 52}{space 3}0.455{col 60}{space 4}-.1074955{col 73}{space 3}  .048129
{txt}{space 10}military {c |}{col 20}{res}{space 2}-.0087304{col 32}{space 2} .0343074{col 43}{space 1}   -0.25{col 52}{space 3}0.799{col 60}{space 4}-.0759716{col 73}{space 3} .0585108
{txt}{space 7}onset2cv410 {c |}{col 20}{res}{space 2}-2.066859{col 32}{space 2} .5038674{col 43}{space 1}   -4.10{col 52}{space 3}0.000{col 60}{space 4}-3.054421{col 73}{space 3}-1.079297
{txt}{space 10}americas {c |}{col 20}{res}{space 2} 6.473602{col 32}{space 2} 11.24194{col 43}{space 1}    0.58{col 52}{space 3}0.565{col 60}{space 4}-15.56019{col 73}{space 3}  28.5074
{txt}{space 12}africa {c |}{col 20}{res}{space 2}-2.832089{col 32}{space 2} 2.375436{col 43}{space 1}   -1.19{col 52}{space 3}0.233{col 60}{space 4}-7.487858{col 73}{space 3}  1.82368
{txt}{space 14}asia {c |}{col 20}{res}{space 2} -1.39384{col 32}{space 2} 1.060596{col 43}{space 1}   -1.31{col 52}{space 3}0.189{col 60}{space 4}-3.472569{col 73}{space 3} .6848899
{txt}{space 9}oceanania {c |}{col 20}{res}{space 2} 4.182098{col 32}{space 2} 2.108272{col 43}{space 1}    1.98{col 52}{space 3}0.047{col 60}{space 4} .0499605{col 73}{space 3} 8.314236
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} 35.55513{col 32}{space 2} 38.75594{col 43}{space 1}    0.92{col 52}{space 3}0.359{col 60}{space 4}-40.40512{col 73}{space 3} 111.5154
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 205 failures and 0 successes completely determined.{p_end}

{com}.  est store mod2
{txt}
{com}. *physint
. ********************* logit with clustering
. logit usintervene_human1 physint avmdia senate_score senate_avmdia polity2 log_gdppc us_allied us_distance_logged usintervene_human oil_petroleum military, cluster(ccode)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-36.611372}  
Iteration 1:{space 3}log pseudolikelihood = {res:-29.331715}  
Iteration 2:{space 3}log pseudolikelihood = {res:-25.692758}  
Iteration 3:{space 3}log pseudolikelihood = {res:-24.180959}  
Iteration 4:{space 3}log pseudolikelihood = {res:-23.824389}  
Iteration 5:{space 3}log pseudolikelihood = {res:-23.720129}  
Iteration 6:{space 3}log pseudolikelihood = {res:-23.677765}  
Iteration 7:{space 3}log pseudolikelihood = {res:-23.664277}  
Iteration 8:{space 3}log pseudolikelihood = {res:-23.664128}  
Iteration 9:{space 3}log pseudolikelihood = {res:-23.664128}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       989
{txt}{col 49}Wald chi2({res}11{txt}){col 67}= {res}    142.98
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-23.664128{txt}{col 49}Pseudo R2{col 67}= {res}    0.3536

{txt}{ralign 84:(Std. Err. adjusted for {res:126} clusters in ccode)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}usintervene_human1{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}physint {c |}{col 20}{res}{space 2}-.4428038{col 32}{space 2} .1125478{col 43}{space 1}   -3.93{col 52}{space 3}0.000{col 60}{space 4}-.6633935{col 73}{space 3}-.2222141
{txt}{space 12}avmdia {c |}{col 20}{res}{space 2}  1.78786{col 32}{space 2} .8352891{col 43}{space 1}    2.14{col 52}{space 3}0.032{col 60}{space 4}  .150723{col 73}{space 3} 3.424996
{txt}{space 6}senate_score {c |}{col 20}{res}{space 2} .1186697{col 32}{space 2} .1318354{col 43}{space 1}    0.90{col 52}{space 3}0.368{col 60}{space 4}-.1397229{col 73}{space 3} .3770623
{txt}{space 5}senate_avmdia {c |}{col 20}{res}{space 2}-.2824602{col 32}{space 2}  .182699{col 43}{space 1}   -1.55{col 52}{space 3}0.122{col 60}{space 4}-.6405435{col 73}{space 3} .0756232
{txt}{space 11}polity2 {c |}{col 20}{res}{space 2} .0502834{col 32}{space 2} .0905044{col 43}{space 1}    0.56{col 52}{space 3}0.578{col 60}{space 4} -.127102{col 73}{space 3} .2276687
{txt}{space 9}log_gdppc {c |}{col 20}{res}{space 2}-.5571622{col 32}{space 2} .4267159{col 43}{space 1}   -1.31{col 52}{space 3}0.192{col 60}{space 4} -1.39351{col 73}{space 3} .2791856
{txt}{space 9}us_allied {c |}{col 20}{res}{space 2}-1.652248{col 32}{space 2} 2.015729{col 43}{space 1}   -0.82{col 52}{space 3}0.412{col 60}{space 4}-5.603005{col 73}{space 3} 2.298509
{txt}us_distance_logged {c |}{col 20}{res}{space 2}-1.404285{col 32}{space 2} 1.828052{col 43}{space 1}   -0.77{col 52}{space 3}0.442{col 60}{space 4}-4.987201{col 73}{space 3} 2.178631
{txt}{space 1}usintervene_human {c |}{col 20}{res}{space 2}-2.013564{col 32}{space 2}  2.05755{col 43}{space 1}   -0.98{col 52}{space 3}0.328{col 60}{space 4}-6.046288{col 73}{space 3}  2.01916
{txt}{space 5}oil_petroleum {c |}{col 20}{res}{space 2}-.0285536{col 32}{space 2} .0138848{col 43}{space 1}   -2.06{col 52}{space 3}0.040{col 60}{space 4}-.0557673{col 73}{space 3}-.0013399
{txt}{space 10}military {c |}{col 20}{res}{space 2}-.0261838{col 32}{space 2} .0491721{col 43}{space 1}   -0.53{col 52}{space 3}0.594{col 60}{space 4}-.1225593{col 73}{space 3} .0701918
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} 13.51053{col 32}{space 2} 18.90665{col 43}{space 1}    0.71{col 52}{space 3}0.475{col 60}{space 4}-23.54583{col 73}{space 3} 50.56689
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 67 failures and 0 successes completely determined.{p_end}

{com}.  est store mod3
{txt}
{com}. logit usintervene_human1 physint avmdia senate_score senate_avmdia polity2 log_gdppc us_allied us_distance_logged usintervene_human oil_petroleum military americas africa asia oceanania, cluster(ccode)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-36.611372}  
Iteration 1:{space 3}log pseudolikelihood = {res:-35.554171}  
Iteration 2:{space 3}log pseudolikelihood = {res:  -21.7032}  
Iteration 3:{space 3}log pseudolikelihood = {res:-18.849449}  
Iteration 4:{space 3}log pseudolikelihood = {res:-17.940887}  
Iteration 5:{space 3}log pseudolikelihood = {res: -16.57617}  
Iteration 6:{space 3}log pseudolikelihood = {res:-16.140649}  
Iteration 7:{space 3}log pseudolikelihood = {res: -16.02681}  
Iteration 8:{space 3}log pseudolikelihood = {res:-16.018614}  
Iteration 9:{space 3}log pseudolikelihood = {res:-16.017821}  
Iteration 10:{space 2}log pseudolikelihood = {res:-16.017682}  
Iteration 11:{space 2}log pseudolikelihood = {res:-16.017646}  
Iteration 12:{space 2}log pseudolikelihood = {res: -16.01764}  
Iteration 13:{space 2}log pseudolikelihood = {res:-16.017638}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       989
{txt}{col 49}Wald chi2({res}15{txt}){col 67}= {res}    515.23
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-16.017638{txt}{col 49}Pseudo R2{col 67}= {res}    0.5625

{txt}{ralign 84:(Std. Err. adjusted for {res:126} clusters in ccode)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}usintervene_human1{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}physint {c |}{col 20}{res}{space 2}-.6190163{col 32}{space 2}  .212475{col 43}{space 1}   -2.91{col 52}{space 3}0.004{col 60}{space 4} -1.03546{col 73}{space 3}-.2025729
{txt}{space 12}avmdia {c |}{col 20}{res}{space 2} 2.224547{col 32}{space 2} .8844349{col 43}{space 1}    2.52{col 52}{space 3}0.012{col 60}{space 4} .4910861{col 73}{space 3} 3.958007
{txt}{space 6}senate_score {c |}{col 20}{res}{space 2} .0942951{col 32}{space 2} .1410408{col 43}{space 1}    0.67{col 52}{space 3}0.504{col 60}{space 4}-.1821397{col 73}{space 3}   .37073
{txt}{space 5}senate_avmdia {c |}{col 20}{res}{space 2}-.3637568{col 32}{space 2} .1677528{col 43}{space 1}   -2.17{col 52}{space 3}0.030{col 60}{space 4}-.6925461{col 73}{space 3}-.0349674
{txt}{space 11}polity2 {c |}{col 20}{res}{space 2} .0475576{col 32}{space 2}  .068862{col 43}{space 1}    0.69{col 52}{space 3}0.490{col 60}{space 4}-.0874095{col 73}{space 3} .1825247
{txt}{space 9}log_gdppc {c |}{col 20}{res}{space 2}-3.175536{col 32}{space 2} 1.194038{col 43}{space 1}   -2.66{col 52}{space 3}0.008{col 60}{space 4}-5.515806{col 73}{space 3}-.8352649
{txt}{space 9}us_allied {c |}{col 20}{res}{space 2}-14.57478{col 32}{space 2} 2.736296{col 43}{space 1}   -5.33{col 52}{space 3}0.000{col 60}{space 4}-19.93782{col 73}{space 3}-9.211736
{txt}us_distance_logged {c |}{col 20}{res}{space 2}-14.73423{col 32}{space 2}  5.67738{col 43}{space 1}   -2.60{col 52}{space 3}0.009{col 60}{space 4} -25.8617{col 73}{space 3}-3.606774
{txt}{space 1}usintervene_human {c |}{col 20}{res}{space 2}-5.244585{col 32}{space 2} 2.570596{col 43}{space 1}   -2.04{col 52}{space 3}0.041{col 60}{space 4}-10.28286{col 73}{space 3}-.2063107
{txt}{space 5}oil_petroleum {c |}{col 20}{res}{space 2}-.1418968{col 32}{space 2} .0541759{col 43}{space 1}   -2.62{col 52}{space 3}0.009{col 60}{space 4}-.2480797{col 73}{space 3}-.0357139
{txt}{space 10}military {c |}{col 20}{res}{space 2}-.0765265{col 32}{space 2} .0897852{col 43}{space 1}   -0.85{col 52}{space 3}0.394{col 60}{space 4}-.2525022{col 73}{space 3} .0994492
{txt}{space 10}americas {c |}{col 20}{res}{space 2}-6.528768{col 32}{space 2} 7.923465{col 43}{space 1}   -0.82{col 52}{space 3}0.410{col 60}{space 4}-22.05847{col 73}{space 3} 9.000938
{txt}{space 12}africa {c |}{col 20}{res}{space 2} -8.03914{col 32}{space 2} 4.757483{col 43}{space 1}   -1.69{col 52}{space 3}0.091{col 60}{space 4}-17.36364{col 73}{space 3} 1.285357
{txt}{space 14}asia {c |}{col 20}{res}{space 2} .5221298{col 32}{space 2} 1.007338{col 43}{space 1}    0.52{col 52}{space 3}0.604{col 60}{space 4}-1.452216{col 73}{space 3} 2.496476
{txt}{space 9}oceanania {c |}{col 20}{res}{space 2} 10.43498{col 32}{space 2} 3.330983{col 43}{space 1}    3.13{col 52}{space 3}0.002{col 60}{space 4} 3.906375{col 73}{space 3} 16.96359
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} 161.6385{col 32}{space 2}  62.0143{col 43}{space 1}    2.61{col 52}{space 3}0.009{col 60}{space 4} 40.09275{col 73}{space 3} 283.1843
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 363 failures and 0 successes completely determined.{p_end}

{com}.  est store mod4
{txt}
{com}. *amnesty
. ********************* logit with clustering
. logit usintervene_human1 amnesty avmdia amnesty_avmdia senate_score senate_avmdia polity2 log_gdppc us_allied us_distance_logged usintervene_human oil_petroleum military onset2cv410, cluster(ccode)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -50.36109}  
Iteration 1:{space 3}log pseudolikelihood = {res:-50.030513}  
Iteration 2:{space 3}log pseudolikelihood = {res:-44.643793}  
Iteration 3:{space 3}log pseudolikelihood = {res:-33.857283}  
Iteration 4:{space 3}log pseudolikelihood = {res:-30.412052}  
Iteration 5:{space 3}log pseudolikelihood = {res:-29.514732}  
Iteration 6:{space 3}log pseudolikelihood = {res:-29.189493}  
Iteration 7:{space 3}log pseudolikelihood = {res:-29.120833}  
Iteration 8:{space 3}log pseudolikelihood = {res:-29.102157}  
Iteration 9:{space 3}log pseudolikelihood = {res:-29.101133}  
Iteration 10:{space 2}log pseudolikelihood = {res: -29.10112}  
Iteration 11:{space 2}log pseudolikelihood = {res: -29.10112}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       896
{txt}{col 49}Wald chi2({res}13{txt}){col 67}= {res}     66.82
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res} -29.10112{txt}{col 49}Pseudo R2{col 67}= {res}    0.4222

{txt}{ralign 84:(Std. Err. adjusted for {res:129} clusters in ccode)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}usintervene_human1{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}amnesty {c |}{col 20}{res}{space 2} 1.128585{col 32}{space 2} .7144566{col 43}{space 1}    1.58{col 52}{space 3}0.114{col 60}{space 4}-.2717245{col 73}{space 3} 2.528894
{txt}{space 12}avmdia {c |}{col 20}{res}{space 2}   -.5182{col 32}{space 2} 5.441181{col 43}{space 1}   -0.10{col 52}{space 3}0.924{col 60}{space 4}-11.18272{col 73}{space 3} 10.14632
{txt}{space 4}amnesty_avmdia {c |}{col 20}{res}{space 2} .4852828{col 32}{space 2} 1.348147{col 43}{space 1}    0.36{col 52}{space 3}0.719{col 60}{space 4}-2.157037{col 73}{space 3} 3.127603
{txt}{space 6}senate_score {c |}{col 20}{res}{space 2} .0319718{col 32}{space 2} .0931863{col 43}{space 1}    0.34{col 52}{space 3}0.732{col 60}{space 4}-.1506701{col 73}{space 3} .2146136
{txt}{space 5}senate_avmdia {c |}{col 20}{res}{space 2} -.361555{col 32}{space 2} .1669737{col 43}{space 1}   -2.17{col 52}{space 3}0.030{col 60}{space 4}-.6888175{col 73}{space 3}-.0342925
{txt}{space 11}polity2 {c |}{col 20}{res}{space 2} .0313303{col 32}{space 2}  .094741{col 43}{space 1}    0.33{col 52}{space 3}0.741{col 60}{space 4}-.1543587{col 73}{space 3} .2170193
{txt}{space 9}log_gdppc {c |}{col 20}{res}{space 2}-.4827501{col 32}{space 2} .3494385{col 43}{space 1}   -1.38{col 52}{space 3}0.167{col 60}{space 4}-1.167637{col 73}{space 3} .2021367
{txt}{space 9}us_allied {c |}{col 20}{res}{space 2}-1.304262{col 32}{space 2} 1.651742{col 43}{space 1}   -0.79{col 52}{space 3}0.430{col 60}{space 4}-4.541616{col 73}{space 3} 1.933092
{txt}us_distance_logged {c |}{col 20}{res}{space 2} -1.27714{col 32}{space 2} 1.215059{col 43}{space 1}   -1.05{col 52}{space 3}0.293{col 60}{space 4}-3.658612{col 73}{space 3} 1.104331
{txt}{space 1}usintervene_human {c |}{col 20}{res}{space 2} 2.679737{col 32}{space 2}  1.07879{col 43}{space 1}    2.48{col 52}{space 3}0.013{col 60}{space 4} .5653466{col 73}{space 3} 4.794127
{txt}{space 5}oil_petroleum {c |}{col 20}{res}{space 2}-.0145105{col 32}{space 2} .0095578{col 43}{space 1}   -1.52{col 52}{space 3}0.129{col 60}{space 4}-.0332435{col 73}{space 3} .0042226
{txt}{space 10}military {c |}{col 20}{res}{space 2}-.0264184{col 32}{space 2} .0653854{col 43}{space 1}   -0.40{col 52}{space 3}0.686{col 60}{space 4}-.1545715{col 73}{space 3} .1017347
{txt}{space 7}onset2cv410 {c |}{col 20}{res}{space 2} -.975363{col 32}{space 2} .5784204{col 43}{space 1}   -1.69{col 52}{space 3}0.092{col 60}{space 4}-2.109046{col 73}{space 3} .1583202
{txt}{space 13}_cons {c |}{col 20}{res}{space 2}  7.18099{col 32}{space 2} 9.752145{col 43}{space 1}    0.74{col 52}{space 3}0.462{col 60}{space 4}-11.93286{col 73}{space 3} 26.29484
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 54 failures and 0 successes completely determined.{p_end}

{com}.  est store mod5
{txt}
{com}. logit usintervene_human1 amnesty avmdia amnesty_avmdia senate_score senate_avmdia polity2 log_gdppc us_allied us_distance_logged usintervene_human oil_petroleum military onset2cv410 americas africa asia oceanania, cluster(ccode)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -50.36109}  
Iteration 1:{space 3}log pseudolikelihood = {res:-48.240996}  
Iteration 2:{space 3}log pseudolikelihood = {res:-40.449055}  
Iteration 3:{space 3}log pseudolikelihood = {res:-30.506235}  
Iteration 4:{space 3}log pseudolikelihood = {res:-25.899119}  
Iteration 5:{space 3}log pseudolikelihood = {res:-24.459603}  
Iteration 6:{space 3}log pseudolikelihood = {res:-24.166329}  
Iteration 7:{space 3}log pseudolikelihood = {res:-24.015613}  
Iteration 8:{space 3}log pseudolikelihood = {res:-23.984793}  
Iteration 9:{space 3}log pseudolikelihood = {res:-23.975022}  
Iteration 10:{space 2}log pseudolikelihood = {res:-23.974605}  
Iteration 11:{space 2}log pseudolikelihood = {res:-23.974532}  
Iteration 12:{space 2}log pseudolikelihood = {res:-23.974515}  
Iteration 13:{space 2}log pseudolikelihood = {res:-23.974511}  
Iteration 14:{space 2}log pseudolikelihood = {res: -23.97451}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       896
{txt}{col 49}Wald chi2({res}17{txt}){col 67}= {res}    440.71
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res} -23.97451{txt}{col 49}Pseudo R2{col 67}= {res}    0.5239

{txt}{ralign 84:(Std. Err. adjusted for {res:129} clusters in ccode)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}usintervene_human1{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}amnesty {c |}{col 20}{res}{space 2} .9771314{col 32}{space 2} .8187543{col 43}{space 1}    1.19{col 52}{space 3}0.233{col 60}{space 4}-.6275975{col 73}{space 3}  2.58186
{txt}{space 12}avmdia {c |}{col 20}{res}{space 2} .7117373{col 32}{space 2} 3.934979{col 43}{space 1}    0.18{col 52}{space 3}0.856{col 60}{space 4}-7.000679{col 73}{space 3} 8.424153
{txt}{space 4}amnesty_avmdia {c |}{col 20}{res}{space 2} .2795943{col 32}{space 2} 1.020745{col 43}{space 1}    0.27{col 52}{space 3}0.784{col 60}{space 4}-1.721029{col 73}{space 3} 2.280218
{txt}{space 6}senate_score {c |}{col 20}{res}{space 2} .0505227{col 32}{space 2} .1098255{col 43}{space 1}    0.46{col 52}{space 3}0.645{col 60}{space 4}-.1647313{col 73}{space 3} .2657766
{txt}{space 5}senate_avmdia {c |}{col 20}{res}{space 2}-.3368865{col 32}{space 2} .1405769{col 43}{space 1}   -2.40{col 52}{space 3}0.017{col 60}{space 4}-.6124122{col 73}{space 3}-.0613609
{txt}{space 11}polity2 {c |}{col 20}{res}{space 2} .0301797{col 32}{space 2} .0728106{col 43}{space 1}    0.41{col 52}{space 3}0.679{col 60}{space 4}-.1125265{col 73}{space 3} .1728859
{txt}{space 9}log_gdppc {c |}{col 20}{res}{space 2}-1.793493{col 32}{space 2}  1.17422{col 43}{space 1}   -1.53{col 52}{space 3}0.127{col 60}{space 4}-4.094922{col 73}{space 3}  .507936
{txt}{space 9}us_allied {c |}{col 20}{res}{space 2}-11.62644{col 32}{space 2} 2.048275{col 43}{space 1}   -5.68{col 52}{space 3}0.000{col 60}{space 4}-15.64099{col 73}{space 3}-7.611898
{txt}us_distance_logged {c |}{col 20}{res}{space 2}-2.306182{col 32}{space 2} 3.305414{col 43}{space 1}   -0.70{col 52}{space 3}0.485{col 60}{space 4}-8.784674{col 73}{space 3} 4.172311
{txt}{space 1}usintervene_human {c |}{col 20}{res}{space 2} 1.228368{col 32}{space 2} 1.243323{col 43}{space 1}    0.99{col 52}{space 3}0.323{col 60}{space 4}  -1.2085{col 73}{space 3} 3.665237
{txt}{space 5}oil_petroleum {c |}{col 20}{res}{space 2}-.0211227{col 32}{space 2} .0309956{col 43}{space 1}   -0.68{col 52}{space 3}0.496{col 60}{space 4}-.0818728{col 73}{space 3} .0396275
{txt}{space 10}military {c |}{col 20}{res}{space 2}-.0313034{col 32}{space 2} .0718018{col 43}{space 1}   -0.44{col 52}{space 3}0.663{col 60}{space 4}-.1720323{col 73}{space 3} .1094256
{txt}{space 7}onset2cv410 {c |}{col 20}{res}{space 2}-1.314094{col 32}{space 2}  .580387{col 43}{space 1}   -2.26{col 52}{space 3}0.024{col 60}{space 4}-2.451632{col 73}{space 3}-.1765564
{txt}{space 10}americas {c |}{col 20}{res}{space 2} 7.749379{col 32}{space 2} 5.518091{col 43}{space 1}    1.40{col 52}{space 3}0.160{col 60}{space 4}-3.065881{col 73}{space 3} 18.56464
{txt}{space 12}africa {c |}{col 20}{res}{space 2}-3.716771{col 32}{space 2} 2.277843{col 43}{space 1}   -1.63{col 52}{space 3}0.103{col 60}{space 4}-8.181261{col 73}{space 3} .7477183
{txt}{space 14}asia {c |}{col 20}{res}{space 2}-1.401193{col 32}{space 2} 1.256116{col 43}{space 1}   -1.12{col 52}{space 3}0.265{col 60}{space 4}-3.863134{col 73}{space 3} 1.060748
{txt}{space 9}oceanania {c |}{col 20}{res}{space 2} 3.806346{col 32}{space 2}  1.90148{col 43}{space 1}    2.00{col 52}{space 3}0.045{col 60}{space 4} .0795134{col 73}{space 3} 7.533179
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} 29.38653{col 32}{space 2} 34.10786{col 43}{space 1}    0.86{col 52}{space 3}0.389{col 60}{space 4}-37.46365{col 73}{space 3}  96.2367
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 145 failures and 0 successes completely determined.{p_end}

{com}.  est store mod6
{txt}
{com}.  esttab mod*, b(3) se(3) stats(N ll r2) keep(latentmean avmdia latentmean_avmdia senate_score senate_avmdia polity2 log_gdppc us_allied us_distance_logged oil_petroleum military onset2cv410 usintervene_human americas africa asia oceanania physint amnesty amnesty_avmdia _cons)
{res}
{txt}{hline 108}
{txt}                      (1)             (2)             (3)             (4)             (5)             (6)   
{txt}             usinterven~1    usinterven~1    usinterven~1    usinterven~1    usinterven~1    usinterven~1   
{txt}{hline 108}
{res}usinterven~1                                                                                                {txt}
{txt}latentmean  {res}       -1.575*         -1.892                                                                   {txt}
            {res} {ralign 12:{txt:(}0.716{txt:)}}    {ralign 12:{txt:(}1.142{txt:)}}                                                                   {txt}

{txt}avmdia      {res}       -4.783*         -1.976           1.788*          2.225*         -0.518           0.712   {txt}
            {res} {ralign 12:{txt:(}1.941{txt:)}}    {ralign 12:{txt:(}1.625{txt:)}}    {ralign 12:{txt:(}0.835{txt:)}}    {ralign 12:{txt:(}0.884{txt:)}}    {ralign 12:{txt:(}5.441{txt:)}}    {ralign 12:{txt:(}3.935{txt:)}}   {txt}

{txt}latentmean~a{res}       -4.561**        -2.682**                                                                 {txt}
            {res} {ralign 12:{txt:(}1.640{txt:)}}    {ralign 12:{txt:(}1.021{txt:)}}                                                                   {txt}

{txt}senate_score{res}        0.094           0.125           0.119           0.094           0.032           0.051   {txt}
            {res} {ralign 12:{txt:(}0.104{txt:)}}    {ralign 12:{txt:(}0.152{txt:)}}    {ralign 12:{txt:(}0.132{txt:)}}    {ralign 12:{txt:(}0.141{txt:)}}    {ralign 12:{txt:(}0.093{txt:)}}    {ralign 12:{txt:(}0.110{txt:)}}   {txt}

{txt}senate_avm~a{res}       -0.611*         -0.506          -0.282          -0.364*         -0.362*         -0.337*  {txt}
            {res} {ralign 12:{txt:(}0.246{txt:)}}    {ralign 12:{txt:(}0.262{txt:)}}    {ralign 12:{txt:(}0.183{txt:)}}    {ralign 12:{txt:(}0.168{txt:)}}    {ralign 12:{txt:(}0.167{txt:)}}    {ralign 12:{txt:(}0.141{txt:)}}   {txt}

{txt}polity2     {res}        0.065           0.071           0.050           0.048           0.031           0.030   {txt}
            {res} {ralign 12:{txt:(}0.082{txt:)}}    {ralign 12:{txt:(}0.073{txt:)}}    {ralign 12:{txt:(}0.091{txt:)}}    {ralign 12:{txt:(}0.069{txt:)}}    {ralign 12:{txt:(}0.095{txt:)}}    {ralign 12:{txt:(}0.073{txt:)}}   {txt}

{txt}log_gdppc   {res}       -0.446          -1.296          -0.557          -3.176**        -0.483          -1.793   {txt}
            {res} {ralign 12:{txt:(}0.373{txt:)}}    {ralign 12:{txt:(}1.031{txt:)}}    {ralign 12:{txt:(}0.427{txt:)}}    {ralign 12:{txt:(}1.194{txt:)}}    {ralign 12:{txt:(}0.349{txt:)}}    {ralign 12:{txt:(}1.174{txt:)}}   {txt}

{txt}us_allied   {res}       -2.033         -11.540          -1.652         -14.575***       -1.304         -11.626***{txt}
            {res} {ralign 12:{txt:(}1.886{txt:)}}    {ralign 12:{txt:(}13.128{txt:)}}    {ralign 12:{txt:(}2.016{txt:)}}    {ralign 12:{txt:(}2.736{txt:)}}    {ralign 12:{txt:(}1.652{txt:)}}    {ralign 12:{txt:(}2.048{txt:)}}   {txt}

{txt}us_distanc~d{res}       -1.539          -3.261          -1.404         -14.734**        -1.277          -2.306   {txt}
            {res} {ralign 12:{txt:(}1.390{txt:)}}    {ralign 12:{txt:(}4.062{txt:)}}    {ralign 12:{txt:(}1.828{txt:)}}    {ralign 12:{txt:(}5.677{txt:)}}    {ralign 12:{txt:(}1.215{txt:)}}    {ralign 12:{txt:(}3.305{txt:)}}   {txt}

{txt}usinterven~n{res}        1.967           0.745          -2.014          -5.245*          2.680*          1.228   {txt}
            {res} {ralign 12:{txt:(}1.062{txt:)}}    {ralign 12:{txt:(}1.192{txt:)}}    {ralign 12:{txt:(}2.058{txt:)}}    {ralign 12:{txt:(}2.571{txt:)}}    {ralign 12:{txt:(}1.079{txt:)}}    {ralign 12:{txt:(}1.243{txt:)}}   {txt}

{txt}oil_petrol~m{res}       -0.015          -0.030          -0.029*         -0.142**        -0.015          -0.021   {txt}
            {res} {ralign 12:{txt:(}0.012{txt:)}}    {ralign 12:{txt:(}0.040{txt:)}}    {ralign 12:{txt:(}0.014{txt:)}}    {ralign 12:{txt:(}0.054{txt:)}}    {ralign 12:{txt:(}0.010{txt:)}}    {ralign 12:{txt:(}0.031{txt:)}}   {txt}

{txt}military    {res}       -0.007          -0.009          -0.026          -0.077          -0.026          -0.031   {txt}
            {res} {ralign 12:{txt:(}0.011{txt:)}}    {ralign 12:{txt:(}0.034{txt:)}}    {ralign 12:{txt:(}0.049{txt:)}}    {ralign 12:{txt:(}0.090{txt:)}}    {ralign 12:{txt:(}0.065{txt:)}}    {ralign 12:{txt:(}0.072{txt:)}}   {txt}

{txt}onset2cv410 {res}       -2.365**        -2.067***                                       -0.975          -1.314*  {txt}
            {res} {ralign 12:{txt:(}0.726{txt:)}}    {ralign 12:{txt:(}0.504{txt:)}}                                    {ralign 12:{txt:(}0.578{txt:)}}    {ralign 12:{txt:(}0.580{txt:)}}   {txt}

{txt}americas    {res}                        6.474                          -6.529                           7.749   {txt}
            {res}                 {ralign 12:{txt:(}11.242{txt:)}}                    {ralign 12:{txt:(}7.923{txt:)}}                    {ralign 12:{txt:(}5.518{txt:)}}   {txt}

{txt}africa      {res}                       -2.832                          -8.039                          -3.717   {txt}
            {res}                 {ralign 12:{txt:(}2.375{txt:)}}                    {ralign 12:{txt:(}4.757{txt:)}}                    {ralign 12:{txt:(}2.278{txt:)}}   {txt}

{txt}asia        {res}                       -1.394                           0.522                          -1.401   {txt}
            {res}                 {ralign 12:{txt:(}1.061{txt:)}}                    {ralign 12:{txt:(}1.007{txt:)}}                    {ralign 12:{txt:(}1.256{txt:)}}   {txt}

{txt}oceanania   {res}                        4.182*                         10.435**                         3.806*  {txt}
            {res}                 {ralign 12:{txt:(}2.108{txt:)}}                    {ralign 12:{txt:(}3.331{txt:)}}                    {ralign 12:{txt:(}1.901{txt:)}}   {txt}

{txt}physint     {res}                                       -0.443***       -0.619**                                 {txt}
            {res}                                 {ralign 12:{txt:(}0.113{txt:)}}    {ralign 12:{txt:(}0.212{txt:)}}                                   {txt}

{txt}amnesty     {res}                                                                        1.129           0.977   {txt}
            {res}                                                                 {ralign 12:{txt:(}0.714{txt:)}}    {ralign 12:{txt:(}0.819{txt:)}}   {txt}

{txt}amnesty_av~a{res}                                                                        0.485           0.280   {txt}
            {res}                                                                 {ralign 12:{txt:(}1.348{txt:)}}    {ralign 12:{txt:(}1.021{txt:)}}   {txt}

{txt}_cons       {res}       11.906          35.555          13.511         161.639**         7.181          29.387   {txt}
            {res} {ralign 12:{txt:(}12.879{txt:)}}    {ralign 12:{txt:(}38.756{txt:)}}    {ralign 12:{txt:(}18.907{txt:)}}    {ralign 12:{txt:(}62.014{txt:)}}    {ralign 12:{txt:(}9.752{txt:)}}    {ralign 12:{txt:(}34.108{txt:)}}   {txt}
{txt}{hline 108}
{txt}N           {res}     1028.000        1028.000         989.000         989.000         896.000         896.000   {txt}
{txt}ll          {res}      -27.133         -22.941         -23.664         -16.018         -29.101         -23.975   {txt}
{txt}r2          {res}                                                                                                {txt}
{txt}{hline 108}
{txt}Standard errors in parentheses
{txt}* p<0.05, ** p<0.01, *** p<0.001

{com}. estimates clear
{txt}
{com}. 
. 
. ******************* Appendix 5 *******************
. *peace years 
. drop py _spline* 
{txt}
{com}. btscs usintervene_human1 year ccode, gen(py) nspline(1) 
{txt}
{com}. sort ccode year 
{txt}
{com}. logit usintervene_human1       state nythr state_nythr senate_score senate_nythr polity2 log_gdppc us_allied us_distance_logged coldwar py _spline*, cluster(ccode) 

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-191.39568}  
Iteration 1:{space 3}log pseudolikelihood = {res:-166.42742}  
Iteration 2:{space 3}log pseudolikelihood = {res:-147.92236}  
Iteration 3:{space 3}log pseudolikelihood = {res:-147.05642}  
Iteration 4:{space 3}log pseudolikelihood = {res:-147.05018}  
Iteration 5:{space 3}log pseudolikelihood = {res:-147.05018}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     3,500
{txt}{col 49}Wald chi2({res}12{txt}){col 67}= {res}     79.85
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-147.05018{txt}{col 49}Pseudo R2{col 67}= {res}    0.2317

{txt}{ralign 84:(Std. Err. adjusted for {res:157} clusters in ccode)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}usintervene_human1{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}state {c |}{col 20}{res}{space 2} .7969306{col 32}{space 2} .2363349{col 43}{space 1}    3.37{col 52}{space 3}0.001{col 60}{space 4} .3337226{col 73}{space 3} 1.260138
{txt}{space 13}nythr {c |}{col 20}{res}{space 2}-.0009393{col 32}{space 2} .0179876{col 43}{space 1}   -0.05{col 52}{space 3}0.958{col 60}{space 4}-.0361944{col 73}{space 3} .0343157
{txt}{space 7}state_nythr {c |}{col 20}{res}{space 2} .0052415{col 32}{space 2} .0054758{col 43}{space 1}    0.96{col 52}{space 3}0.338{col 60}{space 4}-.0054909{col 73}{space 3} .0159739
{txt}{space 6}senate_score {c |}{col 20}{res}{space 2}-.0495699{col 32}{space 2} .0728754{col 43}{space 1}   -0.68{col 52}{space 3}0.496{col 60}{space 4}-.1924031{col 73}{space 3} .0932633
{txt}{space 6}senate_nythr {c |}{col 20}{res}{space 2} .0001889{col 32}{space 2} .0022633{col 43}{space 1}    0.08{col 52}{space 3}0.933{col 60}{space 4}-.0042471{col 73}{space 3}  .004625
{txt}{space 11}polity2 {c |}{col 20}{res}{space 2}  .091616{col 32}{space 2}  .041988{col 43}{space 1}    2.18{col 52}{space 3}0.029{col 60}{space 4}  .009321{col 73}{space 3} .1739109
{txt}{space 9}log_gdppc {c |}{col 20}{res}{space 2}-.5310015{col 32}{space 2} .2442715{col 43}{space 1}   -2.17{col 52}{space 3}0.030{col 60}{space 4}-1.009765{col 73}{space 3}-.0522381
{txt}{space 9}us_allied {c |}{col 20}{res}{space 2}   .36323{col 32}{space 2} .6558306{col 43}{space 1}    0.55{col 52}{space 3}0.580{col 60}{space 4}-.9221743{col 73}{space 3} 1.648634
{txt}us_distance_logged {c |}{col 20}{res}{space 2} .0047618{col 32}{space 2} .1515706{col 43}{space 1}    0.03{col 52}{space 3}0.975{col 60}{space 4}-.2923111{col 73}{space 3} .3018347
{txt}{space 11}coldwar {c |}{col 20}{res}{space 2} .2683012{col 32}{space 2} .6299597{col 43}{space 1}    0.43{col 52}{space 3}0.670{col 60}{space 4}-.9663972{col 73}{space 3}    1.503
{txt}{space 16}py {c |}{col 20}{res}{space 2}-.2909728{col 32}{space 2} .1136034{col 43}{space 1}   -2.56{col 52}{space 3}0.010{col 60}{space 4}-.5136313{col 73}{space 3}-.0683142
{txt}{space 10}_spline1 {c |}{col 20}{res}{space 2} -.001065{col 32}{space 2}   .00047{col 43}{space 1}   -2.27{col 52}{space 3}0.023{col 60}{space 4}-.0019861{col 73}{space 3}-.0001439
{txt}{space 13}_cons {c |}{col 20}{res}{space 2}-1.799503{col 32}{space 2} 3.198064{col 43}{space 1}   -0.56{col 52}{space 3}0.574{col 60}{space 4}-8.067594{col 73}{space 3} 4.468588
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.  est store mod3
{txt}
{com}. drop py _spline* 
{txt}
{com}. btscs usintervene_human1 year ccode, gen(py) nspline(1) 
{txt}
{com}. sort ccode year 
{txt}
{com}. logit usintervene_human1       state nythr state_nythr senate_score senate_nythr polity2 log_gdppc us_allied us_distance_logged coldwar americas africa middleeast asia oceanania py _spline*, cluster(ccode) 

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-191.39568}  
Iteration 1:{space 3}log pseudolikelihood = {res:-166.35765}  
Iteration 2:{space 3}log pseudolikelihood = {res:-146.69018}  
Iteration 3:{space 3}log pseudolikelihood = {res:-145.38824}  
Iteration 4:{space 3}log pseudolikelihood = {res:-145.36878}  
Iteration 5:{space 3}log pseudolikelihood = {res:-145.36877}  
Iteration 6:{space 3}log pseudolikelihood = {res:-145.36877}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     3,500
{txt}{col 49}Wald chi2({res}17{txt}){col 67}= {res}     87.93
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-145.36877{txt}{col 49}Pseudo R2{col 67}= {res}    0.2405

{txt}{ralign 84:(Std. Err. adjusted for {res:157} clusters in ccode)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}usintervene_human1{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}state {c |}{col 20}{res}{space 2} .8232089{col 32}{space 2} .2662308{col 43}{space 1}    3.09{col 52}{space 3}0.002{col 60}{space 4} .3014062{col 73}{space 3} 1.345012
{txt}{space 13}nythr {c |}{col 20}{res}{space 2} .0010559{col 32}{space 2} .0187683{col 43}{space 1}    0.06{col 52}{space 3}0.955{col 60}{space 4}-.0357292{col 73}{space 3} .0378411
{txt}{space 7}state_nythr {c |}{col 20}{res}{space 2} .0043209{col 32}{space 2} .0055836{col 43}{space 1}    0.77{col 52}{space 3}0.439{col 60}{space 4}-.0066227{col 73}{space 3} .0152645
{txt}{space 6}senate_score {c |}{col 20}{res}{space 2}-.0525765{col 32}{space 2}   .07222{col 43}{space 1}   -0.73{col 52}{space 3}0.467{col 60}{space 4}-.1941251{col 73}{space 3} .0889721
{txt}{space 6}senate_nythr {c |}{col 20}{res}{space 2} .0002115{col 32}{space 2} .0022582{col 43}{space 1}    0.09{col 52}{space 3}0.925{col 60}{space 4}-.0042146{col 73}{space 3} .0046375
{txt}{space 11}polity2 {c |}{col 20}{res}{space 2} .0867058{col 32}{space 2} .0417394{col 43}{space 1}    2.08{col 52}{space 3}0.038{col 60}{space 4} .0048981{col 73}{space 3} .1685136
{txt}{space 9}log_gdppc {c |}{col 20}{res}{space 2}-.7654346{col 32}{space 2}  .378977{col 43}{space 1}   -2.02{col 52}{space 3}0.043{col 60}{space 4}-1.508216{col 73}{space 3}-.0226533
{txt}{space 9}us_allied {c |}{col 20}{res}{space 2}  .302667{col 32}{space 2} .5668325{col 43}{space 1}    0.53{col 52}{space 3}0.593{col 60}{space 4}-.8083042{col 73}{space 3} 1.413638
{txt}us_distance_logged {c |}{col 20}{res}{space 2}-.0232102{col 32}{space 2} .1272916{col 43}{space 1}   -0.18{col 52}{space 3}0.855{col 60}{space 4}-.2726973{col 73}{space 3} .2262768
{txt}{space 11}coldwar {c |}{col 20}{res}{space 2} .2796793{col 32}{space 2} .6500849{col 43}{space 1}    0.43{col 52}{space 3}0.667{col 60}{space 4}-.9944637{col 73}{space 3} 1.553822
{txt}{space 10}americas {c |}{col 20}{res}{space 2} .1246435{col 32}{space 2} .8558649{col 43}{space 1}    0.15{col 52}{space 3}0.884{col 60}{space 4}-1.552821{col 73}{space 3} 1.802108
{txt}{space 12}africa {c |}{col 20}{res}{space 2}-.6707757{col 32}{space 2} 1.107908{col 43}{space 1}   -0.61{col 52}{space 3}0.545{col 60}{space 4}-2.842235{col 73}{space 3} 1.500684
{txt}{space 8}middleeast {c |}{col 20}{res}{space 2} .2587893{col 32}{space 2} 1.001086{col 43}{space 1}    0.26{col 52}{space 3}0.796{col 60}{space 4}-1.703302{col 73}{space 3} 2.220881
{txt}{space 14}asia {c |}{col 20}{res}{space 2} .1259747{col 32}{space 2}  .975716{col 43}{space 1}    0.13{col 52}{space 3}0.897{col 60}{space 4}-1.786394{col 73}{space 3} 2.038343
{txt}{space 9}oceanania {c |}{col 20}{res}{space 2} 1.263365{col 32}{space 2} .9581059{col 43}{space 1}    1.32{col 52}{space 3}0.187{col 60}{space 4} -.614488{col 73}{space 3} 3.141218
{txt}{space 16}py {c |}{col 20}{res}{space 2}-.2945989{col 32}{space 2} .1163708{col 43}{space 1}   -2.53{col 52}{space 3}0.011{col 60}{space 4}-.5226814{col 73}{space 3}-.0665163
{txt}{space 10}_spline1 {c |}{col 20}{res}{space 2}-.0011063{col 32}{space 2} .0004781{col 43}{space 1}   -2.31{col 52}{space 3}0.021{col 60}{space 4}-.0020434{col 73}{space 3}-.0001693
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} .4730633{col 32}{space 2} 4.387649{col 43}{space 1}    0.11{col 52}{space 3}0.914{col 60}{space 4}-8.126571{col 73}{space 3} 9.072698
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.  est store mod4
{txt}
{com}. *xtgee
. xtgee usintervene_human1       state nythr state_nythr senate_score senate_nythr polity2 log_gdppc us_allied us_distance_logged coldwar, family (binomial) link (logit) corr (ar1) force robust nolog 

{res}{txt}GEE population-averaged model                   Number of obs     = {res}     3,500
{txt}Group and time vars:            {res}ccode year      {txt}Number of groups  = {res}       157
{txt}Link:                                {res}logit      {txt}Obs per group:
Family:                           {res}binomial                    {txt}min = {res}         3
{txt}Correlation:                         {res}AR(1)                    {txt}avg = {res}      22.3
                                                              {txt}max = {res}        25
                                                {txt}Wald chi2({res}10{txt})     =  {res}    70.08
{txt}Scale parameter:                 {res}        1      {txt}Prob > chi2       =     {res}0.0000

{txt}{ralign 84:(Std. Err. adjusted for clustering on ccode)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}usintervene_human1{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}state {c |}{col 20}{res}{space 2} .7883613{col 32}{space 2} .2486042{col 43}{space 1}    3.17{col 52}{space 3}0.002{col 60}{space 4} .3011061{col 73}{space 3} 1.275617
{txt}{space 13}nythr {c |}{col 20}{res}{space 2} .0106129{col 32}{space 2} .0158746{col 43}{space 1}    0.67{col 52}{space 3}0.504{col 60}{space 4}-.0205008{col 73}{space 3} .0417267
{txt}{space 7}state_nythr {c |}{col 20}{res}{space 2} .0036673{col 32}{space 2} .0049859{col 43}{space 1}    0.74{col 52}{space 3}0.462{col 60}{space 4} -.006105{col 73}{space 3} .0134395
{txt}{space 6}senate_score {c |}{col 20}{res}{space 2}-.0870013{col 32}{space 2} .0783133{col 43}{space 1}   -1.11{col 52}{space 3}0.267{col 60}{space 4}-.2404926{col 73}{space 3}   .06649
{txt}{space 6}senate_nythr {c |}{col 20}{res}{space 2} .0001952{col 32}{space 2} .0025032{col 43}{space 1}    0.08{col 52}{space 3}0.938{col 60}{space 4} -.004711{col 73}{space 3} .0051013
{txt}{space 11}polity2 {c |}{col 20}{res}{space 2} .0873783{col 32}{space 2} .0422194{col 43}{space 1}    2.07{col 52}{space 3}0.038{col 60}{space 4} .0046299{col 73}{space 3} .1701268
{txt}{space 9}log_gdppc {c |}{col 20}{res}{space 2}-.6978743{col 32}{space 2}  .282215{col 43}{space 1}   -2.47{col 52}{space 3}0.013{col 60}{space 4}-1.251005{col 73}{space 3}-.1447431
{txt}{space 9}us_allied {c |}{col 20}{res}{space 2} .2820291{col 32}{space 2}  .740356{col 43}{space 1}    0.38{col 52}{space 3}0.703{col 60}{space 4}-1.169042{col 73}{space 3}   1.7331
{txt}us_distance_logged {c |}{col 20}{res}{space 2}-.0362464{col 32}{space 2} .1334562{col 43}{space 1}   -0.27{col 52}{space 3}0.786{col 60}{space 4}-.2978157{col 73}{space 3} .2253229
{txt}{space 11}coldwar {c |}{col 20}{res}{space 2} -.359057{col 32}{space 2} .5974907{col 43}{space 1}   -0.60{col 52}{space 3}0.548{col 60}{space 4}-1.530117{col 73}{space 3} .8120034
{txt}{space 13}_cons {c |}{col 20}{res}{space 2}-.9364706{col 32}{space 2}   3.3223{col 43}{space 1}   -0.28{col 52}{space 3}0.778{col 60}{space 4}-7.448058{col 73}{space 3} 5.575117
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.  est store mod5
{txt}
{com}. xtgee usintervene_human1       state nythr state_nythr senate_score senate_nythr polity2 log_gdppc us_allied us_distance_logged coldwar americas africa middleeast asia oceanania, family (binomial) link (logit) corr (ar1) force robust nolog 

{res}{txt}GEE population-averaged model                   Number of obs     = {res}     3,500
{txt}Group and time vars:            {res}ccode year      {txt}Number of groups  = {res}       157
{txt}Link:                                {res}logit      {txt}Obs per group:
Family:                           {res}binomial                    {txt}min = {res}         3
{txt}Correlation:                         {res}AR(1)                    {txt}avg = {res}      22.3
                                                              {txt}max = {res}        25
                                                {txt}Wald chi2({res}15{txt})     =  {res}    90.77
{txt}Scale parameter:                 {res}        1      {txt}Prob > chi2       =     {res}0.0000

{txt}{ralign 84:(Std. Err. adjusted for clustering on ccode)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}usintervene_human1{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}state {c |}{col 20}{res}{space 2} .8200299{col 32}{space 2} .2767352{col 43}{space 1}    2.96{col 52}{space 3}0.003{col 60}{space 4}  .277639{col 73}{space 3} 1.362421
{txt}{space 13}nythr {c |}{col 20}{res}{space 2} .0138549{col 32}{space 2}   .01747{col 43}{space 1}    0.79{col 52}{space 3}0.428{col 60}{space 4}-.0203856{col 73}{space 3} .0480954
{txt}{space 7}state_nythr {c |}{col 20}{res}{space 2} .0024898{col 32}{space 2}  .005269{col 43}{space 1}    0.47{col 52}{space 3}0.637{col 60}{space 4}-.0078372{col 73}{space 3} .0128169
{txt}{space 6}senate_score {c |}{col 20}{res}{space 2}-.0907732{col 32}{space 2} .0779652{col 43}{space 1}   -1.16{col 52}{space 3}0.244{col 60}{space 4}-.2435823{col 73}{space 3} .0620359
{txt}{space 6}senate_nythr {c |}{col 20}{res}{space 2} .0002453{col 32}{space 2} .0024731{col 43}{space 1}    0.10{col 52}{space 3}0.921{col 60}{space 4}-.0046019{col 73}{space 3} .0050926
{txt}{space 11}polity2 {c |}{col 20}{res}{space 2} .0869386{col 32}{space 2} .0424317{col 43}{space 1}    2.05{col 52}{space 3}0.040{col 60}{space 4} .0037741{col 73}{space 3} .1701032
{txt}{space 9}log_gdppc {c |}{col 20}{res}{space 2}-.9851423{col 32}{space 2} .4114487{col 43}{space 1}   -2.39{col 52}{space 3}0.017{col 60}{space 4}-1.791567{col 73}{space 3}-.1787177
{txt}{space 9}us_allied {c |}{col 20}{res}{space 2} .1059413{col 32}{space 2} .5275529{col 43}{space 1}    0.20{col 52}{space 3}0.841{col 60}{space 4}-.9280433{col 73}{space 3} 1.139926
{txt}us_distance_logged {c |}{col 20}{res}{space 2}-.0338116{col 32}{space 2} .1304737{col 43}{space 1}   -0.26{col 52}{space 3}0.796{col 60}{space 4}-.2895353{col 73}{space 3}  .221912
{txt}{space 11}coldwar {c |}{col 20}{res}{space 2}-.3585963{col 32}{space 2} .5935304{col 43}{space 1}   -0.60{col 52}{space 3}0.546{col 60}{space 4}-1.521895{col 73}{space 3}  .804702
{txt}{space 10}americas {c |}{col 20}{res}{space 2}-.1338359{col 32}{space 2} .9337951{col 43}{space 1}   -0.14{col 52}{space 3}0.886{col 60}{space 4}-1.964041{col 73}{space 3} 1.696369
{txt}{space 12}africa {c |}{col 20}{res}{space 2}-1.190729{col 32}{space 2} 1.272269{col 43}{space 1}   -0.94{col 52}{space 3}0.349{col 60}{space 4}-3.684331{col 73}{space 3} 1.302872
{txt}{space 8}middleeast {c |}{col 20}{res}{space 2}-.3072311{col 32}{space 2} 1.071922{col 43}{space 1}   -0.29{col 52}{space 3}0.774{col 60}{space 4}-2.408159{col 73}{space 3} 1.793697
{txt}{space 14}asia {c |}{col 20}{res}{space 2} -.417909{col 32}{space 2}  1.08084{col 43}{space 1}   -0.39{col 52}{space 3}0.699{col 60}{space 4}-2.536317{col 73}{space 3} 1.700499
{txt}{space 9}oceanania {c |}{col 20}{res}{space 2} .9857738{col 32}{space 2} 1.060473{col 43}{space 1}    0.93{col 52}{space 3}0.353{col 60}{space 4}-1.092715{col 73}{space 3} 3.064263
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} 1.932139{col 32}{space 2} 4.665323{col 43}{space 1}    0.41{col 52}{space 3}0.679{col 60}{space 4}-7.211725{col 73}{space 3}   11.076
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.  est store mod6
{txt}
{com}. *relogit
. relogit usintervene_human1       state nythr state_nythr senate_score senate_nythr polity2 log_gdppc us_allied us_distance_logged coldwar 


{txt}Corrected logit estimates                             Number of obs ={res}     3500

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}usintervene_human1{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}state {c |}{col 20}{res}{space 2} .7911295{col 32}{space 2} .2239281{col 43}{space 1}    3.53{col 52}{space 3}0.000{col 60}{space 4} .3522385{col 73}{space 3} 1.230021
{txt}{space 13}nythr {c |}{col 20}{res}{space 2} .0179625{col 32}{space 2} .0168081{col 43}{space 1}    1.07{col 52}{space 3}0.285{col 60}{space 4}-.0149808{col 73}{space 3} .0509057
{txt}{space 7}state_nythr {c |}{col 20}{res}{space 2} .0028761{col 32}{space 2} .0048463{col 43}{space 1}    0.59{col 52}{space 3}0.553{col 60}{space 4}-.0066225{col 73}{space 3} .0123746
{txt}{space 6}senate_score {c |}{col 20}{res}{space 2}-.0738901{col 32}{space 2} .0786115{col 43}{space 1}   -0.94{col 52}{space 3}0.347{col 60}{space 4}-.2279659{col 73}{space 3} .0801857
{txt}{space 6}senate_nythr {c |}{col 20}{res}{space 2}-7.88e-06{col 32}{space 2} .0027946{col 43}{space 1}   -0.00{col 52}{space 3}0.998{col 60}{space 4}-.0054852{col 73}{space 3} .0054695
{txt}{space 11}polity2 {c |}{col 20}{res}{space 2}  .091551{col 32}{space 2} .0363401{col 43}{space 1}    2.52{col 52}{space 3}0.012{col 60}{space 4} .0203258{col 73}{space 3} .1627762
{txt}{space 9}log_gdppc {c |}{col 20}{res}{space 2}-.7122842{col 32}{space 2} .2555668{col 43}{space 1}   -2.79{col 52}{space 3}0.005{col 60}{space 4}-1.213186{col 73}{space 3}-.2113825
{txt}{space 9}us_allied {c |}{col 20}{res}{space 2} .1423192{col 32}{space 2} .4554559{col 43}{space 1}    0.31{col 52}{space 3}0.755{col 60}{space 4}-.7503579{col 73}{space 3} 1.034996
{txt}us_distance_logged {c |}{col 20}{res}{space 2}-.1499607{col 32}{space 2} .0793584{col 43}{space 1}   -1.89{col 52}{space 3}0.059{col 60}{space 4}-.3055003{col 73}{space 3} .0055789
{txt}{space 11}coldwar {c |}{col 20}{res}{space 2}-.4537447{col 32}{space 2} .3896486{col 43}{space 1}   -1.16{col 52}{space 3}0.244{col 60}{space 4}-1.217442{col 73}{space 3} .3099526
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} .3270356{col 32}{space 2} 2.792417{col 43}{space 1}    0.12{col 52}{space 3}0.907{col 60}{space 4}-5.146001{col 73}{space 3} 5.800072
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.  est store mod7
{txt}
{com}. relogit usintervene_human1       state nythr state_nythr senate_score senate_nythr polity2 log_gdppc us_allied us_distance_logged coldwar americas africa middleeast asia oceanania


{txt}Corrected logit estimates                             Number of obs ={res}     3500

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}usintervene_human1{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}state {c |}{col 20}{res}{space 2} .8322146{col 32}{space 2} .2523533{col 43}{space 1}    3.30{col 52}{space 3}0.001{col 60}{space 4} .3376112{col 73}{space 3} 1.326818
{txt}{space 13}nythr {c |}{col 20}{res}{space 2} .0221085{col 32}{space 2} .0180784{col 43}{space 1}    1.22{col 52}{space 3}0.221{col 60}{space 4}-.0133244{col 73}{space 3} .0575415
{txt}{space 7}state_nythr {c |}{col 20}{res}{space 2} .0013212{col 32}{space 2} .0051111{col 43}{space 1}    0.26{col 52}{space 3}0.796{col 60}{space 4}-.0086964{col 73}{space 3} .0113387
{txt}{space 6}senate_score {c |}{col 20}{res}{space 2}-.0795662{col 32}{space 2} .0771218{col 43}{space 1}   -1.03{col 52}{space 3}0.302{col 60}{space 4} -.230722{col 73}{space 3} .0715897
{txt}{space 6}senate_nythr {c |}{col 20}{res}{space 2} .0001208{col 32}{space 2} .0027453{col 43}{space 1}    0.04{col 52}{space 3}0.965{col 60}{space 4}-.0052598{col 73}{space 3} .0055013
{txt}{space 11}polity2 {c |}{col 20}{res}{space 2} .0900797{col 32}{space 2} .0355503{col 43}{space 1}    2.53{col 52}{space 3}0.011{col 60}{space 4} .0204024{col 73}{space 3} .1597571
{txt}{space 9}log_gdppc {c |}{col 20}{res}{space 2}-.9573315{col 32}{space 2} .3322101{col 43}{space 1}   -2.88{col 52}{space 3}0.004{col 60}{space 4}-1.608451{col 73}{space 3}-.3062116
{txt}{space 9}us_allied {c |}{col 20}{res}{space 2} .0508829{col 32}{space 2} .3458125{col 43}{space 1}    0.15{col 52}{space 3}0.883{col 60}{space 4}-.6268972{col 73}{space 3}  .728663
{txt}us_distance_logged {c |}{col 20}{res}{space 2}-.1895403{col 32}{space 2}  .070478{col 43}{space 1}   -2.69{col 52}{space 3}0.007{col 60}{space 4}-.3276747{col 73}{space 3}-.0514059
{txt}{space 11}coldwar {c |}{col 20}{res}{space 2}-.4433316{col 32}{space 2} .3830431{col 43}{space 1}   -1.16{col 52}{space 3}0.247{col 60}{space 4}-1.194082{col 73}{space 3}  .307419
{txt}{space 10}americas {c |}{col 20}{res}{space 2}-.3841277{col 32}{space 2}  .562556{col 43}{space 1}   -0.68{col 52}{space 3}0.495{col 60}{space 4}-1.486717{col 73}{space 3} .7184617
{txt}{space 12}africa {c |}{col 20}{res}{space 2}-1.193142{col 32}{space 2} .8260583{col 43}{space 1}   -1.44{col 52}{space 3}0.149{col 60}{space 4}-2.812187{col 73}{space 3} .4259026
{txt}{space 8}middleeast {c |}{col 20}{res}{space 2}-.2405988{col 32}{space 2} .8667338{col 43}{space 1}   -0.28{col 52}{space 3}0.781{col 60}{space 4}-1.939366{col 73}{space 3} 1.458168
{txt}{space 14}asia {c |}{col 20}{res}{space 2}-.5108401{col 32}{space 2} .7298623{col 43}{space 1}   -0.70{col 52}{space 3}0.484{col 60}{space 4}-1.941344{col 73}{space 3} .9196637
{txt}{space 9}oceanania {c |}{col 20}{res}{space 2} 1.430766{col 32}{space 2}  1.22909{col 43}{space 1}    1.16{col 52}{space 3}0.244{col 60}{space 4}-.9782054{col 73}{space 3} 3.839738
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} 3.320056{col 32}{space 2} 3.705641{col 43}{space 1}    0.90{col 52}{space 3}0.370{col 60}{space 4}-3.942866{col 73}{space 3} 10.58298
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.  est store mod8
{txt}
{com}. esttab mod*, b(3) se(3) stats(N ll r2) keep(state nythr state_nythr senate_score senate_nythr polity2 log_gdppc us_allied us_distance_logged coldwar americas africa middleeast asia oceanania _cons)
{res}
{txt}{hline 108}
{txt}                      (1)             (2)             (3)             (4)             (5)             (6)   
{txt}             usinterven~1    usinterven~1    usinterven~1    usinterven~1    usinterven~1    usinterven~1   
{txt}{hline 108}
{res}main                                                                                                        {txt}
{txt}state       {res}        0.797***        0.823**         0.788**         0.820**         0.791***        0.832***{txt}
            {res} {ralign 12:{txt:(}0.236{txt:)}}    {ralign 12:{txt:(}0.266{txt:)}}    {ralign 12:{txt:(}0.249{txt:)}}    {ralign 12:{txt:(}0.277{txt:)}}    {ralign 12:{txt:(}0.224{txt:)}}    {ralign 12:{txt:(}0.252{txt:)}}   {txt}

{txt}nythr       {res}       -0.001           0.001           0.011           0.014           0.018           0.022   {txt}
            {res} {ralign 12:{txt:(}0.018{txt:)}}    {ralign 12:{txt:(}0.019{txt:)}}    {ralign 12:{txt:(}0.016{txt:)}}    {ralign 12:{txt:(}0.017{txt:)}}    {ralign 12:{txt:(}0.017{txt:)}}    {ralign 12:{txt:(}0.018{txt:)}}   {txt}

{txt}state_nythr {res}        0.005           0.004           0.004           0.002           0.003           0.001   {txt}
            {res} {ralign 12:{txt:(}0.005{txt:)}}    {ralign 12:{txt:(}0.006{txt:)}}    {ralign 12:{txt:(}0.005{txt:)}}    {ralign 12:{txt:(}0.005{txt:)}}    {ralign 12:{txt:(}0.005{txt:)}}    {ralign 12:{txt:(}0.005{txt:)}}   {txt}

{txt}senate_score{res}       -0.050          -0.053          -0.087          -0.091          -0.074          -0.080   {txt}
            {res} {ralign 12:{txt:(}0.073{txt:)}}    {ralign 12:{txt:(}0.072{txt:)}}    {ralign 12:{txt:(}0.078{txt:)}}    {ralign 12:{txt:(}0.078{txt:)}}    {ralign 12:{txt:(}0.079{txt:)}}    {ralign 12:{txt:(}0.077{txt:)}}   {txt}

{txt}senate_nythr{res}        0.000           0.000           0.000           0.000          -0.000           0.000   {txt}
            {res} {ralign 12:{txt:(}0.002{txt:)}}    {ralign 12:{txt:(}0.002{txt:)}}    {ralign 12:{txt:(}0.003{txt:)}}    {ralign 12:{txt:(}0.002{txt:)}}    {ralign 12:{txt:(}0.003{txt:)}}    {ralign 12:{txt:(}0.003{txt:)}}   {txt}

{txt}polity2     {res}        0.092*          0.087*          0.087*          0.087*          0.092*          0.090*  {txt}
            {res} {ralign 12:{txt:(}0.042{txt:)}}    {ralign 12:{txt:(}0.042{txt:)}}    {ralign 12:{txt:(}0.042{txt:)}}    {ralign 12:{txt:(}0.042{txt:)}}    {ralign 12:{txt:(}0.036{txt:)}}    {ralign 12:{txt:(}0.036{txt:)}}   {txt}

{txt}log_gdppc   {res}       -0.531*         -0.765*         -0.698*         -0.985*         -0.712**        -0.957** {txt}
            {res} {ralign 12:{txt:(}0.244{txt:)}}    {ralign 12:{txt:(}0.379{txt:)}}    {ralign 12:{txt:(}0.282{txt:)}}    {ralign 12:{txt:(}0.411{txt:)}}    {ralign 12:{txt:(}0.256{txt:)}}    {ralign 12:{txt:(}0.332{txt:)}}   {txt}

{txt}us_allied   {res}        0.363           0.303           0.282           0.106           0.142           0.051   {txt}
            {res} {ralign 12:{txt:(}0.656{txt:)}}    {ralign 12:{txt:(}0.567{txt:)}}    {ralign 12:{txt:(}0.740{txt:)}}    {ralign 12:{txt:(}0.528{txt:)}}    {ralign 12:{txt:(}0.455{txt:)}}    {ralign 12:{txt:(}0.346{txt:)}}   {txt}

{txt}us_distanc~d{res}        0.005          -0.023          -0.036          -0.034          -0.150          -0.190** {txt}
            {res} {ralign 12:{txt:(}0.152{txt:)}}    {ralign 12:{txt:(}0.127{txt:)}}    {ralign 12:{txt:(}0.133{txt:)}}    {ralign 12:{txt:(}0.130{txt:)}}    {ralign 12:{txt:(}0.079{txt:)}}    {ralign 12:{txt:(}0.070{txt:)}}   {txt}

{txt}coldwar     {res}        0.268           0.280          -0.359          -0.359          -0.454          -0.443   {txt}
            {res} {ralign 12:{txt:(}0.630{txt:)}}    {ralign 12:{txt:(}0.650{txt:)}}    {ralign 12:{txt:(}0.597{txt:)}}    {ralign 12:{txt:(}0.594{txt:)}}    {ralign 12:{txt:(}0.390{txt:)}}    {ralign 12:{txt:(}0.383{txt:)}}   {txt}

{txt}americas    {res}                        0.125                          -0.134                          -0.384   {txt}
            {res}                 {ralign 12:{txt:(}0.856{txt:)}}                    {ralign 12:{txt:(}0.934{txt:)}}                    {ralign 12:{txt:(}0.563{txt:)}}   {txt}

{txt}africa      {res}                       -0.671                          -1.191                          -1.193   {txt}
            {res}                 {ralign 12:{txt:(}1.108{txt:)}}                    {ralign 12:{txt:(}1.272{txt:)}}                    {ralign 12:{txt:(}0.826{txt:)}}   {txt}

{txt}middleeast  {res}                        0.259                          -0.307                          -0.241   {txt}
            {res}                 {ralign 12:{txt:(}1.001{txt:)}}                    {ralign 12:{txt:(}1.072{txt:)}}                    {ralign 12:{txt:(}0.867{txt:)}}   {txt}

{txt}asia        {res}                        0.126                          -0.418                          -0.511   {txt}
            {res}                 {ralign 12:{txt:(}0.976{txt:)}}                    {ralign 12:{txt:(}1.081{txt:)}}                    {ralign 12:{txt:(}0.730{txt:)}}   {txt}

{txt}oceanania   {res}                        1.263                           0.986                           1.431   {txt}
            {res}                 {ralign 12:{txt:(}0.958{txt:)}}                    {ralign 12:{txt:(}1.060{txt:)}}                    {ralign 12:{txt:(}1.229{txt:)}}   {txt}

{txt}_cons       {res}       -1.800           0.473          -0.936           1.932           0.327           3.320   {txt}
            {res} {ralign 12:{txt:(}3.198{txt:)}}    {ralign 12:{txt:(}4.388{txt:)}}    {ralign 12:{txt:(}3.322{txt:)}}    {ralign 12:{txt:(}4.665{txt:)}}    {ralign 12:{txt:(}2.792{txt:)}}    {ralign 12:{txt:(}3.706{txt:)}}   {txt}
{txt}{hline 108}
{txt}N           {res}     3500.000        3500.000        3500.000        3500.000        3500.000        3500.000   {txt}
{txt}ll          {res}     -147.050        -145.369                                                                   {txt}
{txt}r2          {res}                                                                                                {txt}
{txt}{hline 108}
{txt}Standard errors in parentheses
{txt}* p<0.05, ** p<0.01, *** p<0.001

{com}. estimates clear
{txt}
{com}. 
. 
. ******************* Appendix 6 *******************
. *logit with clustering
. logit usintervene_human state nythr state_nythr senate_score senate_nythr polity2 log_gdppc us_allied us_distance_logged coldwar, cluster(ccode)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-163.08048}  
Iteration 1:{space 3}log pseudolikelihood = {res:-146.96055}  
Iteration 2:{space 3}log pseudolikelihood = {res: -125.8755}  
Iteration 3:{space 3}log pseudolikelihood = {res:-123.60628}  
Iteration 4:{space 3}log pseudolikelihood = {res:-123.55134}  
Iteration 5:{space 3}log pseudolikelihood = {res:-123.55125}  
Iteration 6:{space 3}log pseudolikelihood = {res:-123.55125}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     3,500
{txt}{col 49}Wald chi2({res}10{txt}){col 67}= {res}     60.50
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-123.55125{txt}{col 49}Pseudo R2{col 67}= {res}    0.2424

{txt}{ralign 84:(Std. Err. adjusted for {res:157} clusters in ccode)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1} usintervene_human{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}state {c |}{col 20}{res}{space 2} .7437077{col 32}{space 2} .2866797{col 43}{space 1}    2.59{col 52}{space 3}0.009{col 60}{space 4} .1818257{col 73}{space 3}  1.30559
{txt}{space 13}nythr {c |}{col 20}{res}{space 2} .0041689{col 32}{space 2} .0193776{col 43}{space 1}    0.22{col 52}{space 3}0.830{col 60}{space 4}-.0338106{col 73}{space 3} .0421483
{txt}{space 7}state_nythr {c |}{col 20}{res}{space 2} .0083212{col 32}{space 2} .0054845{col 43}{space 1}    1.52{col 52}{space 3}0.129{col 60}{space 4}-.0024282{col 73}{space 3} .0190705
{txt}{space 6}senate_score {c |}{col 20}{res}{space 2}-.0527297{col 32}{space 2} .0841234{col 43}{space 1}   -0.63{col 52}{space 3}0.531{col 60}{space 4}-.2176084{col 73}{space 3} .1121491
{txt}{space 6}senate_nythr {c |}{col 20}{res}{space 2}-.0002284{col 32}{space 2} .0026849{col 43}{space 1}   -0.09{col 52}{space 3}0.932{col 60}{space 4}-.0054907{col 73}{space 3}  .005034
{txt}{space 11}polity2 {c |}{col 20}{res}{space 2} .1619314{col 32}{space 2} .0531427{col 43}{space 1}    3.05{col 52}{space 3}0.002{col 60}{space 4} .0577735{col 73}{space 3} .2660892
{txt}{space 9}log_gdppc {c |}{col 20}{res}{space 2}-1.217236{col 32}{space 2} .3641397{col 43}{space 1}   -3.34{col 52}{space 3}0.001{col 60}{space 4}-1.930936{col 73}{space 3} -.503535
{txt}{space 9}us_allied {c |}{col 20}{res}{space 2} .4313321{col 32}{space 2} .7591076{col 43}{space 1}    0.57{col 52}{space 3}0.570{col 60}{space 4}-1.056491{col 73}{space 3} 1.919156
{txt}us_distance_logged {c |}{col 20}{res}{space 2}-.1452896{col 32}{space 2} .1229597{col 43}{space 1}   -1.18{col 52}{space 3}0.237{col 60}{space 4}-.3862862{col 73}{space 3}  .095707
{txt}{space 11}coldwar {c |}{col 20}{res}{space 2}-.8356354{col 32}{space 2} .5774336{col 43}{space 1}   -1.45{col 52}{space 3}0.148{col 60}{space 4}-1.967385{col 73}{space 3} .2961138
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} 4.025618{col 32}{space 2} 3.584495{col 43}{space 1}    1.12{col 52}{space 3}0.261{col 60}{space 4}-2.999863{col 73}{space 3}  11.0511
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.  est store mod1
{txt}
{com}. logit usintervene_human state nythr state_nythr senate_score senate_nythr polity2 log_gdppc us_allied us_distance_logged coldwar americas africa middleeast asia oceanania, cluster(ccode)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-163.08048}  
Iteration 1:{space 3}log pseudolikelihood = {res:-146.62779}  
Iteration 2:{space 3}log pseudolikelihood = {res:-123.15931}  
Iteration 3:{space 3}log pseudolikelihood = {res:-120.14467}  
Iteration 4:{space 3}log pseudolikelihood = {res:-120.07022}  
Iteration 5:{space 3}log pseudolikelihood = {res:-120.07014}  
Iteration 6:{space 3}log pseudolikelihood = {res:-120.07014}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     3,500
{txt}{col 49}Wald chi2({res}15{txt}){col 67}= {res}    115.99
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-120.07014{txt}{col 49}Pseudo R2{col 67}= {res}    0.2637

{txt}{ralign 84:(Std. Err. adjusted for {res:157} clusters in ccode)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1} usintervene_human{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}state {c |}{col 20}{res}{space 2} .7960452{col 32}{space 2} .3111083{col 43}{space 1}    2.56{col 52}{space 3}0.011{col 60}{space 4} .1862841{col 73}{space 3} 1.405806
{txt}{space 13}nythr {c |}{col 20}{res}{space 2} .0133805{col 32}{space 2} .0169304{col 43}{space 1}    0.79{col 52}{space 3}0.429{col 60}{space 4}-.0198025{col 73}{space 3} .0465634
{txt}{space 7}state_nythr {c |}{col 20}{res}{space 2} .0060374{col 32}{space 2} .0049709{col 43}{space 1}    1.21{col 52}{space 3}0.225{col 60}{space 4}-.0037055{col 73}{space 3} .0157803
{txt}{space 6}senate_score {c |}{col 20}{res}{space 2}-.0623834{col 32}{space 2} .0834556{col 43}{space 1}   -0.75{col 52}{space 3}0.455{col 60}{space 4}-.2259534{col 73}{space 3} .1011866
{txt}{space 6}senate_nythr {c |}{col 20}{res}{space 2} .0002785{col 32}{space 2} .0026378{col 43}{space 1}    0.11{col 52}{space 3}0.916{col 60}{space 4}-.0048915{col 73}{space 3} .0054486
{txt}{space 11}polity2 {c |}{col 20}{res}{space 2} .1678667{col 32}{space 2}  .054706{col 43}{space 1}    3.07{col 52}{space 3}0.002{col 60}{space 4} .0606449{col 73}{space 3} .2750886
{txt}{space 9}log_gdppc {c |}{col 20}{res}{space 2} -1.52377{col 32}{space 2} .4229469{col 43}{space 1}   -3.60{col 52}{space 3}0.000{col 60}{space 4} -2.35273{col 73}{space 3}-.6948092
{txt}{space 9}us_allied {c |}{col 20}{res}{space 2}  .003914{col 32}{space 2} .5394112{col 43}{space 1}    0.01{col 52}{space 3}0.994{col 60}{space 4}-1.053313{col 73}{space 3} 1.061141
{txt}us_distance_logged {c |}{col 20}{res}{space 2}-.0816253{col 32}{space 2} .1327144{col 43}{space 1}   -0.62{col 52}{space 3}0.539{col 60}{space 4}-.3417407{col 73}{space 3} .1784902
{txt}{space 11}coldwar {c |}{col 20}{res}{space 2}-.8487025{col 32}{space 2} .5897227{col 43}{space 1}   -1.44{col 52}{space 3}0.150{col 60}{space 4}-2.004538{col 73}{space 3} .3071328
{txt}{space 10}americas {c |}{col 20}{res}{space 2}-.1996463{col 32}{space 2} .9105937{col 43}{space 1}   -0.22{col 52}{space 3}0.826{col 60}{space 4}-1.984377{col 73}{space 3} 1.585085
{txt}{space 12}africa {c |}{col 20}{res}{space 2}-1.362108{col 32}{space 2} 1.150793{col 43}{space 1}   -1.18{col 52}{space 3}0.237{col 60}{space 4} -3.61762{col 73}{space 3} .8934044
{txt}{space 8}middleeast {c |}{col 20}{res}{space 2}-.2691307{col 32}{space 2} 1.144212{col 43}{space 1}   -0.24{col 52}{space 3}0.814{col 60}{space 4}-2.511745{col 73}{space 3} 1.973483
{txt}{space 14}asia {c |}{col 20}{res}{space 2}-1.654687{col 32}{space 2} 1.095638{col 43}{space 1}   -1.51{col 52}{space 3}0.131{col 60}{space 4}-3.802099{col 73}{space 3} .4927248
{txt}{space 9}oceanania {c |}{col 20}{res}{space 2} 1.016877{col 32}{space 2} 1.051507{col 43}{space 1}    0.97{col 52}{space 3}0.334{col 60}{space 4} -1.04404{col 73}{space 3} 3.077794
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} 6.699258{col 32}{space 2}  4.60854{col 43}{space 1}    1.45{col 52}{space 3}0.146{col 60}{space 4}-2.333314{col 73}{space 3} 15.73183
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.  est store mod2
{txt}
{com}. *peace years 
. drop py _spline* 
{txt}
{com}. btscs usintervene_human year ccode, gen(py) nspline(1) 
{txt}
{com}. sort ccode year 
{txt}
{com}. logit usintervene_human       state nythr state_nythr senate_score senate_nythr polity2 log_gdppc us_allied us_distance_logged coldwar py _spline*, cluster(ccode) 

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-163.08048}  
Iteration 1:{space 3}log pseudolikelihood = {res:-142.94288}  
Iteration 2:{space 3}log pseudolikelihood = {res:-120.37897}  
Iteration 3:{space 3}log pseudolikelihood = {res:-118.45217}  
Iteration 4:{space 3}log pseudolikelihood = {res:-118.40337}  
Iteration 5:{space 3}log pseudolikelihood = {res:-118.40327}  
Iteration 6:{space 3}log pseudolikelihood = {res:-118.40327}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     3,500
{txt}{col 49}Wald chi2({res}12{txt}){col 67}= {res}     77.15
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-118.40327{txt}{col 49}Pseudo R2{col 67}= {res}    0.2740

{txt}{ralign 84:(Std. Err. adjusted for {res:157} clusters in ccode)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1} usintervene_human{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}state {c |}{col 20}{res}{space 2} .7066043{col 32}{space 2} .2823443{col 43}{space 1}    2.50{col 52}{space 3}0.012{col 60}{space 4} .1532197{col 73}{space 3} 1.259989
{txt}{space 13}nythr {c |}{col 20}{res}{space 2}-.0107624{col 32}{space 2} .0221291{col 43}{space 1}   -0.49{col 52}{space 3}0.627{col 60}{space 4}-.0541346{col 73}{space 3} .0326098
{txt}{space 7}state_nythr {c |}{col 20}{res}{space 2} .0111897{col 32}{space 2} .0064492{col 43}{space 1}    1.74{col 52}{space 3}0.083{col 60}{space 4}-.0014505{col 73}{space 3} .0238299
{txt}{space 6}senate_score {c |}{col 20}{res}{space 2}-.0226309{col 32}{space 2} .0890434{col 43}{space 1}   -0.25{col 52}{space 3}0.799{col 60}{space 4}-.1971529{col 73}{space 3}  .151891
{txt}{space 6}senate_nythr {c |}{col 20}{res}{space 2} -.000198{col 32}{space 2}  .002933{col 43}{space 1}   -0.07{col 52}{space 3}0.946{col 60}{space 4}-.0059466{col 73}{space 3} .0055507
{txt}{space 11}polity2 {c |}{col 20}{res}{space 2} .1658899{col 32}{space 2} .0518045{col 43}{space 1}    3.20{col 52}{space 3}0.001{col 60}{space 4}  .064355{col 73}{space 3} .2674248
{txt}{space 9}log_gdppc {c |}{col 20}{res}{space 2}-1.033513{col 32}{space 2} .3317515{col 43}{space 1}   -3.12{col 52}{space 3}0.002{col 60}{space 4}-1.683734{col 73}{space 3}-.3832918
{txt}{space 9}us_allied {c |}{col 20}{res}{space 2} .4711823{col 32}{space 2}  .693338{col 43}{space 1}    0.68{col 52}{space 3}0.497{col 60}{space 4}-.8877352{col 73}{space 3}   1.8301
{txt}us_distance_logged {c |}{col 20}{res}{space 2}-.1210261{col 32}{space 2} .1206196{col 43}{space 1}   -1.00{col 52}{space 3}0.316{col 60}{space 4}-.3574361{col 73}{space 3} .1153839
{txt}{space 11}coldwar {c |}{col 20}{res}{space 2}-.2206244{col 32}{space 2} .6010104{col 43}{space 1}   -0.37{col 52}{space 3}0.714{col 60}{space 4}-1.398583{col 73}{space 3} .9573343
{txt}{space 16}py {c |}{col 20}{res}{space 2}-.2420316{col 32}{space 2} .1079531{col 43}{space 1}   -2.24{col 52}{space 3}0.025{col 60}{space 4}-.4536158{col 73}{space 3}-.0304475
{txt}{space 10}_spline1 {c |}{col 20}{res}{space 2}-.0008553{col 32}{space 2} .0004739{col 43}{space 1}   -1.80{col 52}{space 3}0.071{col 60}{space 4}-.0017842{col 73}{space 3} .0000736
{txt}{space 13}_cons {c |}{col 20}{res}{space 2}  3.20003{col 32}{space 2}  3.37142{col 43}{space 1}    0.95{col 52}{space 3}0.343{col 60}{space 4}-3.407833{col 73}{space 3} 9.807892
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.  est store mod3
{txt}
{com}. drop py _spline* 
{txt}
{com}. btscs usintervene_human year ccode, gen(py) nspline(1) 
{txt}
{com}. sort ccode year 
{txt}
{com}. logit usintervene_human       state nythr state_nythr senate_score senate_nythr polity2 log_gdppc us_allied us_distance_logged coldwar americas africa middleeast asia oceanania py _spline*, cluster(ccode) 

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-163.08048}  
Iteration 1:{space 3}log pseudolikelihood = {res:-142.95549}  
Iteration 2:{space 3}log pseudolikelihood = {res:-118.91149}  
Iteration 3:{space 3}log pseudolikelihood = {res:-116.39626}  
Iteration 4:{space 3}log pseudolikelihood = {res:-116.29227}  
Iteration 5:{space 3}log pseudolikelihood = {res:-116.29193}  
Iteration 6:{space 3}log pseudolikelihood = {res:-116.29193}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     3,500
{txt}{col 49}Wald chi2({res}17{txt}){col 67}= {res}    119.41
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-116.29193{txt}{col 49}Pseudo R2{col 67}= {res}    0.2869

{txt}{ralign 84:(Std. Err. adjusted for {res:157} clusters in ccode)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1} usintervene_human{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}state {c |}{col 20}{res}{space 2} .7513652{col 32}{space 2} .3235379{col 43}{space 1}    2.32{col 52}{space 3}0.020{col 60}{space 4} .1172425{col 73}{space 3} 1.385488
{txt}{space 13}nythr {c |}{col 20}{res}{space 2} .0002614{col 32}{space 2} .0194193{col 43}{space 1}    0.01{col 52}{space 3}0.989{col 60}{space 4}-.0377998{col 73}{space 3} .0383226
{txt}{space 7}state_nythr {c |}{col 20}{res}{space 2} .0085154{col 32}{space 2} .0057767{col 43}{space 1}    1.47{col 52}{space 3}0.140{col 60}{space 4}-.0028068{col 73}{space 3} .0198376
{txt}{space 6}senate_score {c |}{col 20}{res}{space 2}-.0345351{col 32}{space 2} .0882882{col 43}{space 1}   -0.39{col 52}{space 3}0.696{col 60}{space 4}-.2075768{col 73}{space 3} .1385067
{txt}{space 6}senate_nythr {c |}{col 20}{res}{space 2} .0002511{col 32}{space 2} .0028416{col 43}{space 1}    0.09{col 52}{space 3}0.930{col 60}{space 4}-.0053182{col 73}{space 3} .0058205
{txt}{space 11}polity2 {c |}{col 20}{res}{space 2} .1584372{col 32}{space 2} .0529371{col 43}{space 1}    2.99{col 52}{space 3}0.003{col 60}{space 4} .0546824{col 73}{space 3} .2621921
{txt}{space 9}log_gdppc {c |}{col 20}{res}{space 2}-1.298812{col 32}{space 2} .4096399{col 43}{space 1}   -3.17{col 52}{space 3}0.002{col 60}{space 4}-2.101691{col 73}{space 3}-.4959321
{txt}{space 9}us_allied {c |}{col 20}{res}{space 2} .2248628{col 32}{space 2} .6565226{col 43}{space 1}    0.34{col 52}{space 3}0.732{col 60}{space 4}-1.061898{col 73}{space 3} 1.511623
{txt}us_distance_logged {c |}{col 20}{res}{space 2} -.069325{col 32}{space 2} .1283758{col 43}{space 1}   -0.54{col 52}{space 3}0.589{col 60}{space 4}-.3209369{col 73}{space 3}  .182287
{txt}{space 11}coldwar {c |}{col 20}{res}{space 2}-.2854038{col 32}{space 2} .6569516{col 43}{space 1}   -0.43{col 52}{space 3}0.664{col 60}{space 4}-1.573005{col 73}{space 3} 1.002198
{txt}{space 10}americas {c |}{col 20}{res}{space 2} .0122018{col 32}{space 2} .9333558{col 43}{space 1}    0.01{col 52}{space 3}0.990{col 60}{space 4}-1.817142{col 73}{space 3} 1.841546
{txt}{space 12}africa {c |}{col 20}{res}{space 2}-.8827006{col 32}{space 2}  1.04207{col 43}{space 1}   -0.85{col 52}{space 3}0.397{col 60}{space 4}-2.925119{col 73}{space 3} 1.159718
{txt}{space 8}middleeast {c |}{col 20}{res}{space 2}  .092325{col 32}{space 2} 1.158392{col 43}{space 1}    0.08{col 52}{space 3}0.936{col 60}{space 4}-2.178082{col 73}{space 3} 2.362732
{txt}{space 14}asia {c |}{col 20}{res}{space 2}-1.089675{col 32}{space 2} .9790892{col 43}{space 1}   -1.11{col 52}{space 3}0.266{col 60}{space 4}-3.008654{col 73}{space 3} .8293048
{txt}{space 9}oceanania {c |}{col 20}{res}{space 2} 1.281274{col 32}{space 2} .9667873{col 43}{space 1}    1.33{col 52}{space 3}0.185{col 60}{space 4}-.6135943{col 73}{space 3} 3.176142
{txt}{space 16}py {c |}{col 20}{res}{space 2}-.2188554{col 32}{space 2} .1060757{col 43}{space 1}   -2.06{col 52}{space 3}0.039{col 60}{space 4}-.4267599{col 73}{space 3} -.010951
{txt}{space 10}_spline1 {c |}{col 20}{res}{space 2}-.0008073{col 32}{space 2} .0004762{col 43}{space 1}   -1.70{col 52}{space 3}0.090{col 60}{space 4}-.0017406{col 73}{space 3}  .000126
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} 5.171316{col 32}{space 2} 4.385439{col 43}{space 1}    1.18{col 52}{space 3}0.238{col 60}{space 4}-3.423987{col 73}{space 3} 13.76662
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.  est store mod4
{txt}
{com}. *xtgee
. xtgee usintervene_human       state nythr state_nythr senate_score senate_nythr polity2 log_gdppc us_allied us_distance_logged coldwar, family (binomial) link (logit) corr (ar1) force robust nolog 

{res}{txt}GEE population-averaged model                   Number of obs     = {res}     3,500
{txt}Group and time vars:            {res}ccode year      {txt}Number of groups  = {res}       157
{txt}Link:                                {res}logit      {txt}Obs per group:
Family:                           {res}binomial                    {txt}min = {res}         3
{txt}Correlation:                         {res}AR(1)                    {txt}avg = {res}      22.3
                                                              {txt}max = {res}        25
                                                {txt}Wald chi2({res}10{txt})     =  {res}    60.57
{txt}Scale parameter:                 {res}        1      {txt}Prob > chi2       =     {res}0.0000

{txt}{ralign 84:(Std. Err. adjusted for clustering on ccode)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1} usintervene_human{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}state {c |}{col 20}{res}{space 2} .7438167{col 32}{space 2} .2867227{col 43}{space 1}    2.59{col 52}{space 3}0.009{col 60}{space 4} .1818505{col 73}{space 3} 1.305783
{txt}{space 13}nythr {c |}{col 20}{res}{space 2} .0042023{col 32}{space 2} .0193851{col 43}{space 1}    0.22{col 52}{space 3}0.828{col 60}{space 4}-.0337918{col 73}{space 3} .0421964
{txt}{space 7}state_nythr {c |}{col 20}{res}{space 2} .0082895{col 32}{space 2} .0054861{col 43}{space 1}    1.51{col 52}{space 3}0.131{col 60}{space 4} -.002463{col 73}{space 3} .0190419
{txt}{space 6}senate_score {c |}{col 20}{res}{space 2}-.0525101{col 32}{space 2} .0838551{col 43}{space 1}   -0.63{col 52}{space 3}0.531{col 60}{space 4}-.2168631{col 73}{space 3} .1118429
{txt}{space 6}senate_nythr {c |}{col 20}{res}{space 2}-.0002341{col 32}{space 2} .0026815{col 43}{space 1}   -0.09{col 52}{space 3}0.930{col 60}{space 4}-.0054897{col 73}{space 3} .0050214
{txt}{space 11}polity2 {c |}{col 20}{res}{space 2} .1616031{col 32}{space 2} .0529981{col 43}{space 1}    3.05{col 52}{space 3}0.002{col 60}{space 4} .0577288{col 73}{space 3} .2654773
{txt}{space 9}log_gdppc {c |}{col 20}{res}{space 2}-1.215093{col 32}{space 2} .3632507{col 43}{space 1}   -3.35{col 52}{space 3}0.001{col 60}{space 4}-1.927051{col 73}{space 3}-.5031346
{txt}{space 9}us_allied {c |}{col 20}{res}{space 2} .4317171{col 32}{space 2} .7586589{col 43}{space 1}    0.57{col 52}{space 3}0.569{col 60}{space 4}-1.055227{col 73}{space 3} 1.918661
{txt}us_distance_logged {c |}{col 20}{res}{space 2}-.1449054{col 32}{space 2} .1229343{col 43}{space 1}   -1.18{col 52}{space 3}0.239{col 60}{space 4}-.3858522{col 73}{space 3} .0960413
{txt}{space 11}coldwar {c |}{col 20}{res}{space 2}-.8310272{col 32}{space 2} .5770381{col 43}{space 1}   -1.44{col 52}{space 3}0.150{col 60}{space 4}-1.962001{col 73}{space 3} .2999467
{txt}{space 13}_cons {c |}{col 20}{res}{space 2}   4.0033{col 32}{space 2} 3.579002{col 43}{space 1}    1.12{col 52}{space 3}0.263{col 60}{space 4}-3.011415{col 73}{space 3} 11.01802
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.  est store mod5
{txt}
{com}. xtgee usintervene_human       state nythr state_nythr senate_score senate_nythr polity2 log_gdppc us_allied us_distance_logged coldwar americas africa middleeast asia oceanania, family (binomial) link (logit) corr (ar1) force robust nolog 

{res}{txt}GEE population-averaged model                   Number of obs     = {res}     3,500
{txt}Group and time vars:            {res}ccode year      {txt}Number of groups  = {res}       157
{txt}Link:                                {res}logit      {txt}Obs per group:
Family:                           {res}binomial                    {txt}min = {res}         3
{txt}Correlation:                         {res}AR(1)                    {txt}avg = {res}      22.3
                                                              {txt}max = {res}        25
                                                {txt}Wald chi2({res}15{txt})     =  {res}   115.99
{txt}Scale parameter:                 {res}        1      {txt}Prob > chi2       =     {res}0.0000

{txt}{ralign 84:(Std. Err. adjusted for clustering on ccode)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1} usintervene_human{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}state {c |}{col 20}{res}{space 2} .7958739{col 32}{space 2} .3109841{col 43}{space 1}    2.56{col 52}{space 3}0.010{col 60}{space 4} .1863564{col 73}{space 3} 1.405392
{txt}{space 13}nythr {c |}{col 20}{res}{space 2} .0133618{col 32}{space 2} .0169426{col 43}{space 1}    0.79{col 52}{space 3}0.430{col 60}{space 4} -.019845{col 73}{space 3} .0465686
{txt}{space 7}state_nythr {c |}{col 20}{res}{space 2} .0060208{col 32}{space 2} .0049732{col 43}{space 1}    1.21{col 52}{space 3}0.226{col 60}{space 4}-.0037264{col 73}{space 3}  .015768
{txt}{space 6}senate_score {c |}{col 20}{res}{space 2}-.0621376{col 32}{space 2} .0832335{col 43}{space 1}   -0.75{col 52}{space 3}0.455{col 60}{space 4}-.2252722{col 73}{space 3} .1009969
{txt}{space 6}senate_nythr {c |}{col 20}{res}{space 2} .0002689{col 32}{space 2} .0026357{col 43}{space 1}    0.10{col 52}{space 3}0.919{col 60}{space 4}-.0048969{col 73}{space 3} .0054348
{txt}{space 11}polity2 {c |}{col 20}{res}{space 2} .1675768{col 32}{space 2} .0545942{col 43}{space 1}    3.07{col 52}{space 3}0.002{col 60}{space 4} .0605742{col 73}{space 3} .2745794
{txt}{space 9}log_gdppc {c |}{col 20}{res}{space 2}-1.521692{col 32}{space 2} .4226337{col 43}{space 1}   -3.60{col 52}{space 3}0.000{col 60}{space 4}-2.350039{col 73}{space 3}-.6933455
{txt}{space 9}us_allied {c |}{col 20}{res}{space 2} .0059708{col 32}{space 2} .5387907{col 43}{space 1}    0.01{col 52}{space 3}0.991{col 60}{space 4} -1.05004{col 73}{space 3} 1.061981
{txt}us_distance_logged {c |}{col 20}{res}{space 2} -.081392{col 32}{space 2} .1326697{col 43}{space 1}   -0.61{col 52}{space 3}0.540{col 60}{space 4}-.3414199{col 73}{space 3}  .178636
{txt}{space 11}coldwar {c |}{col 20}{res}{space 2}-.8450158{col 32}{space 2} .5892169{col 43}{space 1}   -1.43{col 52}{space 3}0.152{col 60}{space 4} -1.99986{col 73}{space 3} .3098282
{txt}{space 10}americas {c |}{col 20}{res}{space 2}-.2019557{col 32}{space 2} .9098613{col 43}{space 1}   -0.22{col 52}{space 3}0.824{col 60}{space 4}-1.985251{col 73}{space 3}  1.58134
{txt}{space 12}africa {c |}{col 20}{res}{space 2}-1.363076{col 32}{space 2} 1.150649{col 43}{space 1}   -1.18{col 52}{space 3}0.236{col 60}{space 4}-3.618307{col 73}{space 3} .8921555
{txt}{space 8}middleeast {c |}{col 20}{res}{space 2}-.2733464{col 32}{space 2}  1.14382{col 43}{space 1}   -0.24{col 52}{space 3}0.811{col 60}{space 4}-2.515192{col 73}{space 3} 1.968499
{txt}{space 14}asia {c |}{col 20}{res}{space 2}-1.651558{col 32}{space 2} 1.095278{col 43}{space 1}   -1.51{col 52}{space 3}0.132{col 60}{space 4}-3.798264{col 73}{space 3} .4951484
{txt}{space 9}oceanania {c |}{col 20}{res}{space 2} 1.010222{col 32}{space 2} 1.050368{col 43}{space 1}    0.96{col 52}{space 3}0.336{col 60}{space 4}-1.048462{col 73}{space 3} 3.068905
{txt}{space 13}_cons {c |}{col 20}{res}{space 2}  6.68132{col 32}{space 2} 4.606031{col 43}{space 1}    1.45{col 52}{space 3}0.147{col 60}{space 4}-2.346335{col 73}{space 3} 15.70898
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.  est store mod6
{txt}
{com}. *relogit
. relogit usintervene_human       state nythr state_nythr senate_score senate_nythr polity2 log_gdppc us_allied us_distance_logged coldwar 


{txt}Corrected logit estimates                             Number of obs ={res}     3500

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1} usintervene_human{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}state {c |}{col 20}{res}{space 2}  .745402{col 32}{space 2} .2776502{col 43}{space 1}    2.68{col 52}{space 3}0.007{col 60}{space 4} .2012176{col 73}{space 3} 1.289586
{txt}{space 13}nythr {c |}{col 20}{res}{space 2} .0153901{col 32}{space 2} .0226592{col 43}{space 1}    0.68{col 52}{space 3}0.497{col 60}{space 4}-.0290212{col 73}{space 3} .0598014
{txt}{space 7}state_nythr {c |}{col 20}{res}{space 2} .0058885{col 32}{space 2} .0066068{col 43}{space 1}    0.89{col 52}{space 3}0.373{col 60}{space 4}-.0070606{col 73}{space 3} .0188376
{txt}{space 6}senate_score {c |}{col 20}{res}{space 2}-.0479089{col 32}{space 2} .0865014{col 43}{space 1}   -0.55{col 52}{space 3}0.580{col 60}{space 4}-.2174485{col 73}{space 3} .1216306
{txt}{space 6}senate_nythr {c |}{col 20}{res}{space 2}-.0000968{col 32}{space 2} .0028748{col 43}{space 1}   -0.03{col 52}{space 3}0.973{col 60}{space 4}-.0057313{col 73}{space 3} .0055377
{txt}{space 11}polity2 {c |}{col 20}{res}{space 2} .1568274{col 32}{space 2} .0444434{col 43}{space 1}    3.53{col 52}{space 3}0.000{col 60}{space 4} .0697199{col 73}{space 3} .2439349
{txt}{space 9}log_gdppc {c |}{col 20}{res}{space 2}-1.158558{col 32}{space 2} .3626296{col 43}{space 1}   -3.19{col 52}{space 3}0.001{col 60}{space 4}-1.869298{col 73}{space 3}-.4478167
{txt}{space 9}us_allied {c |}{col 20}{res}{space 2} .2717875{col 32}{space 2} .4919565{col 43}{space 1}    0.55{col 52}{space 3}0.581{col 60}{space 4}-.6924296{col 73}{space 3} 1.236005
{txt}us_distance_logged {c |}{col 20}{res}{space 2}-.2296278{col 32}{space 2} .0756825{col 43}{space 1}   -3.03{col 52}{space 3}0.002{col 60}{space 4}-.3779628{col 73}{space 3}-.0812928
{txt}{space 11}coldwar {c |}{col 20}{res}{space 2}-.8563244{col 32}{space 2} .3993803{col 43}{space 1}   -2.14{col 52}{space 3}0.032{col 60}{space 4}-1.639095{col 73}{space 3}-.0735533
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} 4.483735{col 32}{space 2} 3.542409{col 43}{space 1}    1.27{col 52}{space 3}0.206{col 60}{space 4}-2.459259{col 73}{space 3} 11.42673
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.  est store mod7
{txt}
{com}. relogit usintervene_human       state nythr state_nythr senate_score senate_nythr polity2 log_gdppc us_allied us_distance_logged coldwar americas africa middleeast asia oceanania


{txt}Corrected logit estimates                             Number of obs ={res}     3500

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1} usintervene_human{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}state {c |}{col 20}{res}{space 2} .7999436{col 32}{space 2} .2962711{col 43}{space 1}    2.70{col 52}{space 3}0.007{col 60}{space 4}  .219263{col 73}{space 3} 1.380624
{txt}{space 13}nythr {c |}{col 20}{res}{space 2} .0232423{col 32}{space 2} .0196719{col 43}{space 1}    1.18{col 52}{space 3}0.237{col 60}{space 4}-.0153139{col 73}{space 3} .0617986
{txt}{space 7}state_nythr {c |}{col 20}{res}{space 2} .0035476{col 32}{space 2} .0058772{col 43}{space 1}    0.60{col 52}{space 3}0.546{col 60}{space 4}-.0079715{col 73}{space 3} .0150667
{txt}{space 6}senate_score {c |}{col 20}{res}{space 2}-.0601906{col 32}{space 2} .0844843{col 43}{space 1}   -0.71{col 52}{space 3}0.476{col 60}{space 4}-.2257769{col 73}{space 3} .1053956
{txt}{space 6}senate_nythr {c |}{col 20}{res}{space 2} .0004639{col 32}{space 2} .0027503{col 43}{space 1}    0.17{col 52}{space 3}0.866{col 60}{space 4}-.0049267{col 73}{space 3} .0058544
{txt}{space 11}polity2 {c |}{col 20}{res}{space 2}  .159825{col 32}{space 2} .0494087{col 43}{space 1}    3.23{col 52}{space 3}0.001{col 60}{space 4} .0629858{col 73}{space 3} .2566643
{txt}{space 9}log_gdppc {c |}{col 20}{res}{space 2}-1.408233{col 32}{space 2} .4007047{col 43}{space 1}   -3.51{col 52}{space 3}0.000{col 60}{space 4}  -2.1936{col 73}{space 3} -.622866
{txt}{space 9}us_allied {c |}{col 20}{res}{space 2}-.0752139{col 32}{space 2} .3958616{col 43}{space 1}   -0.19{col 52}{space 3}0.849{col 60}{space 4}-.8510885{col 73}{space 3} .7006607
{txt}us_distance_logged {c |}{col 20}{res}{space 2}  -.24926{col 32}{space 2} .0783663{col 43}{space 1}   -3.18{col 52}{space 3}0.001{col 60}{space 4} -.402855{col 73}{space 3}-.0956649
{txt}{space 11}coldwar {c |}{col 20}{res}{space 2}-.8442726{col 32}{space 2} .4199982{col 43}{space 1}   -2.01{col 52}{space 3}0.044{col 60}{space 4}-1.667454{col 73}{space 3}-.0210913
{txt}{space 10}americas {c |}{col 20}{res}{space 2}-.4282289{col 32}{space 2} .7150468{col 43}{space 1}   -0.60{col 52}{space 3}0.549{col 60}{space 4}-1.829695{col 73}{space 3} .9732371
{txt}{space 12}africa {c |}{col 20}{res}{space 2}-1.347511{col 32}{space 2} .9297136{col 43}{space 1}   -1.45{col 52}{space 3}0.147{col 60}{space 4}-3.169716{col 73}{space 3} .4746941
{txt}{space 8}middleeast {c |}{col 20}{res}{space 2}-.1516608{col 32}{space 2} 1.074242{col 43}{space 1}   -0.14{col 52}{space 3}0.888{col 60}{space 4}-2.257137{col 73}{space 3} 1.953816
{txt}{space 14}asia {c |}{col 20}{res}{space 2}-1.546527{col 32}{space 2} .9679885{col 43}{space 1}   -1.60{col 52}{space 3}0.110{col 60}{space 4}-3.443749{col 73}{space 3} .3506958
{txt}{space 9}oceanania {c |}{col 20}{res}{space 2} 1.432905{col 32}{space 2} 1.310324{col 43}{space 1}    1.09{col 52}{space 3}0.274{col 60}{space 4}-1.135282{col 73}{space 3} 4.001092
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} 7.559635{col 32}{space 2} 4.292321{col 43}{space 1}    1.76{col 52}{space 3}0.078{col 60}{space 4}-.8531594{col 73}{space 3} 15.97243
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.  est store mod8
{txt}
{com}. esttab mod*, b(3) se(3) stats(N ll r2) keep(state nythr state_nythr senate_score senate_nythr polity2 log_gdppc us_allied us_distance_logged coldwar americas africa middleeast asia oceanania _cons)
{res}
{txt}{hline 140}
{txt}                      (1)             (2)             (3)             (4)             (5)             (6)             (7)             (8)   
{txt}             usinterven~n    usinterven~n    usinterven~n    usinterven~n    usinterven~n    usinterven~n    usinterven~n    usinterven~n   
{txt}{hline 140}
{res}main                                                                                                                                        {txt}
{txt}state       {res}        0.744**         0.796*          0.707*          0.751*          0.744**         0.796*          0.745**         0.800** {txt}
            {res} {ralign 12:{txt:(}0.287{txt:)}}    {ralign 12:{txt:(}0.311{txt:)}}    {ralign 12:{txt:(}0.282{txt:)}}    {ralign 12:{txt:(}0.324{txt:)}}    {ralign 12:{txt:(}0.287{txt:)}}    {ralign 12:{txt:(}0.311{txt:)}}    {ralign 12:{txt:(}0.278{txt:)}}    {ralign 12:{txt:(}0.296{txt:)}}   {txt}

{txt}nythr       {res}        0.004           0.013          -0.011           0.000           0.004           0.013           0.015           0.023   {txt}
            {res} {ralign 12:{txt:(}0.019{txt:)}}    {ralign 12:{txt:(}0.017{txt:)}}    {ralign 12:{txt:(}0.022{txt:)}}    {ralign 12:{txt:(}0.019{txt:)}}    {ralign 12:{txt:(}0.019{txt:)}}    {ralign 12:{txt:(}0.017{txt:)}}    {ralign 12:{txt:(}0.023{txt:)}}    {ralign 12:{txt:(}0.020{txt:)}}   {txt}

{txt}state_nythr {res}        0.008           0.006           0.011           0.009           0.008           0.006           0.006           0.004   {txt}
            {res} {ralign 12:{txt:(}0.005{txt:)}}    {ralign 12:{txt:(}0.005{txt:)}}    {ralign 12:{txt:(}0.006{txt:)}}    {ralign 12:{txt:(}0.006{txt:)}}    {ralign 12:{txt:(}0.005{txt:)}}    {ralign 12:{txt:(}0.005{txt:)}}    {ralign 12:{txt:(}0.007{txt:)}}    {ralign 12:{txt:(}0.006{txt:)}}   {txt}

{txt}senate_score{res}       -0.053          -0.062          -0.023          -0.035          -0.053          -0.062          -0.048          -0.060   {txt}
            {res} {ralign 12:{txt:(}0.084{txt:)}}    {ralign 12:{txt:(}0.083{txt:)}}    {ralign 12:{txt:(}0.089{txt:)}}    {ralign 12:{txt:(}0.088{txt:)}}    {ralign 12:{txt:(}0.084{txt:)}}    {ralign 12:{txt:(}0.083{txt:)}}    {ralign 12:{txt:(}0.087{txt:)}}    {ralign 12:{txt:(}0.084{txt:)}}   {txt}

{txt}senate_nythr{res}       -0.000           0.000          -0.000           0.000          -0.000           0.000          -0.000           0.000   {txt}
            {res} {ralign 12:{txt:(}0.003{txt:)}}    {ralign 12:{txt:(}0.003{txt:)}}    {ralign 12:{txt:(}0.003{txt:)}}    {ralign 12:{txt:(}0.003{txt:)}}    {ralign 12:{txt:(}0.003{txt:)}}    {ralign 12:{txt:(}0.003{txt:)}}    {ralign 12:{txt:(}0.003{txt:)}}    {ralign 12:{txt:(}0.003{txt:)}}   {txt}

{txt}polity2     {res}        0.162**         0.168**         0.166**         0.158**         0.162**         0.168**         0.157***        0.160** {txt}
            {res} {ralign 12:{txt:(}0.053{txt:)}}    {ralign 12:{txt:(}0.055{txt:)}}    {ralign 12:{txt:(}0.052{txt:)}}    {ralign 12:{txt:(}0.053{txt:)}}    {ralign 12:{txt:(}0.053{txt:)}}    {ralign 12:{txt:(}0.055{txt:)}}    {ralign 12:{txt:(}0.044{txt:)}}    {ralign 12:{txt:(}0.049{txt:)}}   {txt}

{txt}log_gdppc   {res}       -1.217***       -1.524***       -1.034**        -1.299**        -1.215***       -1.522***       -1.159**        -1.408***{txt}
            {res} {ralign 12:{txt:(}0.364{txt:)}}    {ralign 12:{txt:(}0.423{txt:)}}    {ralign 12:{txt:(}0.332{txt:)}}    {ralign 12:{txt:(}0.410{txt:)}}    {ralign 12:{txt:(}0.363{txt:)}}    {ralign 12:{txt:(}0.423{txt:)}}    {ralign 12:{txt:(}0.363{txt:)}}    {ralign 12:{txt:(}0.401{txt:)}}   {txt}

{txt}us_allied   {res}        0.431           0.004           0.471           0.225           0.432           0.006           0.272          -0.075   {txt}
            {res} {ralign 12:{txt:(}0.759{txt:)}}    {ralign 12:{txt:(}0.539{txt:)}}    {ralign 12:{txt:(}0.693{txt:)}}    {ralign 12:{txt:(}0.657{txt:)}}    {ralign 12:{txt:(}0.759{txt:)}}    {ralign 12:{txt:(}0.539{txt:)}}    {ralign 12:{txt:(}0.492{txt:)}}    {ralign 12:{txt:(}0.396{txt:)}}   {txt}

{txt}us_distanc~d{res}       -0.145          -0.082          -0.121          -0.069          -0.145          -0.081          -0.230**        -0.249** {txt}
            {res} {ralign 12:{txt:(}0.123{txt:)}}    {ralign 12:{txt:(}0.133{txt:)}}    {ralign 12:{txt:(}0.121{txt:)}}    {ralign 12:{txt:(}0.128{txt:)}}    {ralign 12:{txt:(}0.123{txt:)}}    {ralign 12:{txt:(}0.133{txt:)}}    {ralign 12:{txt:(}0.076{txt:)}}    {ralign 12:{txt:(}0.078{txt:)}}   {txt}

{txt}coldwar     {res}       -0.836          -0.849          -0.221          -0.285          -0.831          -0.845          -0.856*         -0.844*  {txt}
            {res} {ralign 12:{txt:(}0.577{txt:)}}    {ralign 12:{txt:(}0.590{txt:)}}    {ralign 12:{txt:(}0.601{txt:)}}    {ralign 12:{txt:(}0.657{txt:)}}    {ralign 12:{txt:(}0.577{txt:)}}    {ralign 12:{txt:(}0.589{txt:)}}    {ralign 12:{txt:(}0.399{txt:)}}    {ralign 12:{txt:(}0.420{txt:)}}   {txt}

{txt}americas    {res}                       -0.200                           0.012                          -0.202                          -0.428   {txt}
            {res}                 {ralign 12:{txt:(}0.911{txt:)}}                    {ralign 12:{txt:(}0.933{txt:)}}                    {ralign 12:{txt:(}0.910{txt:)}}                    {ralign 12:{txt:(}0.715{txt:)}}   {txt}

{txt}africa      {res}                       -1.362                          -0.883                          -1.363                          -1.348   {txt}
            {res}                 {ralign 12:{txt:(}1.151{txt:)}}                    {ralign 12:{txt:(}1.042{txt:)}}                    {ralign 12:{txt:(}1.151{txt:)}}                    {ralign 12:{txt:(}0.930{txt:)}}   {txt}

{txt}middleeast  {res}                       -0.269                           0.092                          -0.273                          -0.152   {txt}
            {res}                 {ralign 12:{txt:(}1.144{txt:)}}                    {ralign 12:{txt:(}1.158{txt:)}}                    {ralign 12:{txt:(}1.144{txt:)}}                    {ralign 12:{txt:(}1.074{txt:)}}   {txt}

{txt}asia        {res}                       -1.655                          -1.090                          -1.652                          -1.547   {txt}
            {res}                 {ralign 12:{txt:(}1.096{txt:)}}                    {ralign 12:{txt:(}0.979{txt:)}}                    {ralign 12:{txt:(}1.095{txt:)}}                    {ralign 12:{txt:(}0.968{txt:)}}   {txt}

{txt}oceanania   {res}                        1.017                           1.281                           1.010                           1.433   {txt}
            {res}                 {ralign 12:{txt:(}1.052{txt:)}}                    {ralign 12:{txt:(}0.967{txt:)}}                    {ralign 12:{txt:(}1.050{txt:)}}                    {ralign 12:{txt:(}1.310{txt:)}}   {txt}

{txt}_cons       {res}        4.026           6.699           3.200           5.171           4.003           6.681           4.484           7.560   {txt}
            {res} {ralign 12:{txt:(}3.584{txt:)}}    {ralign 12:{txt:(}4.609{txt:)}}    {ralign 12:{txt:(}3.371{txt:)}}    {ralign 12:{txt:(}4.385{txt:)}}    {ralign 12:{txt:(}3.579{txt:)}}    {ralign 12:{txt:(}4.606{txt:)}}    {ralign 12:{txt:(}3.542{txt:)}}    {ralign 12:{txt:(}4.292{txt:)}}   {txt}
{txt}{hline 140}
{txt}N           {res}     3500.000        3500.000        3500.000        3500.000        3500.000        3500.000        3500.000        3500.000   {txt}
{txt}ll          {res}     -123.551        -120.070        -118.403        -116.292                                                                   {txt}
{txt}r2          {res}                                                                                                                                {txt}
{txt}{hline 140}
{txt}Standard errors in parentheses
{txt}* p<0.05, ** p<0.01, *** p<0.001

{com}. estimates clear
{txt}
{com}. 
. 
. ******************* Appendix 7 *******************
. logit usintervene_human1 state nythr state_nythr senate_score senate_nythr polity2 log_gdppc us_allied us_distance_logged coldwar usintervene_human, cluster(ccode)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-191.39568}  
Iteration 1:{space 3}log pseudolikelihood = {res:-152.87559}  
Iteration 2:{space 3}log pseudolikelihood = {res:-134.98838}  
Iteration 3:{space 3}log pseudolikelihood = {res:-131.99043}  
Iteration 4:{space 3}log pseudolikelihood = {res:-131.92503}  
Iteration 5:{space 3}log pseudolikelihood = {res:-131.92502}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     3,500
{txt}{col 49}Wald chi2({res}11{txt}){col 67}= {res}    158.67
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-131.92502{txt}{col 49}Pseudo R2{col 67}= {res}    0.3107

{txt}{ralign 84:(Std. Err. adjusted for {res:157} clusters in ccode)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}usintervene_human1{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}state {c |}{col 20}{res}{space 2}  .692235{col 32}{space 2} .2244909{col 43}{space 1}    3.08{col 52}{space 3}0.002{col 60}{space 4}  .252241{col 73}{space 3} 1.132229
{txt}{space 13}nythr {c |}{col 20}{res}{space 2} .0090742{col 32}{space 2} .0179088{col 43}{space 1}    0.51{col 52}{space 3}0.612{col 60}{space 4}-.0260263{col 73}{space 3} .0441748
{txt}{space 7}state_nythr {c |}{col 20}{res}{space 2} .0020798{col 32}{space 2} .0062001{col 43}{space 1}    0.34{col 52}{space 3}0.737{col 60}{space 4}-.0100722{col 73}{space 3} .0142318
{txt}{space 6}senate_score {c |}{col 20}{res}{space 2} -.076271{col 32}{space 2} .0593538{col 43}{space 1}   -1.29{col 52}{space 3}0.199{col 60}{space 4}-.1926023{col 73}{space 3} .0400602
{txt}{space 6}senate_nythr {c |}{col 20}{res}{space 2} .0001451{col 32}{space 2} .0017529{col 43}{space 1}    0.08{col 52}{space 3}0.934{col 60}{space 4}-.0032906{col 73}{space 3} .0035808
{txt}{space 11}polity2 {c |}{col 20}{res}{space 2} .0510875{col 32}{space 2}  .037857{col 43}{space 1}    1.35{col 52}{space 3}0.177{col 60}{space 4}-.0231109{col 73}{space 3} .1252858
{txt}{space 9}log_gdppc {c |}{col 20}{res}{space 2}-.3339508{col 32}{space 2} .2457966{col 43}{space 1}   -1.36{col 52}{space 3}0.174{col 60}{space 4}-.8157033{col 73}{space 3} .1478018
{txt}{space 9}us_allied {c |}{col 20}{res}{space 2}-.0843423{col 32}{space 2} .5513258{col 43}{space 1}   -0.15{col 52}{space 3}0.878{col 60}{space 4}-1.164921{col 73}{space 3} .9962364
{txt}us_distance_logged {c |}{col 20}{res}{space 2} .0478272{col 32}{space 2} .1549722{col 43}{space 1}    0.31{col 52}{space 3}0.758{col 60}{space 4}-.2559126{col 73}{space 3} .3515671
{txt}{space 11}coldwar {c |}{col 20}{res}{space 2}-.3001774{col 32}{space 2} .4348371{col 43}{space 1}   -0.69{col 52}{space 3}0.490{col 60}{space 4}-1.152442{col 73}{space 3} .5520876
{txt}{space 1}usintervene_human {c |}{col 20}{res}{space 2} 3.755163{col 32}{space 2} .4939505{col 43}{space 1}    7.60{col 52}{space 3}0.000{col 60}{space 4} 2.787038{col 73}{space 3} 4.723288
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} -4.60012{col 32}{space 2} 3.377363{col 43}{space 1}   -1.36{col 52}{space 3}0.173{col 60}{space 4}-11.21963{col 73}{space 3}  2.01939
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. prgen state_nythr, from(0) to(575) generate(prlfp) rest(mean) gap(57.5) ci

{res}logit{txt}: Predicted values as {res}state_nythr{txt} varies from {res}0{txt} to {res}575{txt}.

           state         nythr   state_nythr  senate_score  senate_nythr       polity2     log_gdppc     us_allied  us_distanc~d       coldwar  usinterven~n
x=  {res}   2.4768571     15.522286     43.168857     4.6122857     71.107143         1.112     9.0021592     .23342857     9.1340249          .606          .008
{txt}
{com}. label var prlfpp1 "Predicted probability"
{txt}
{com}. label var prlfpp1ub "95% upper limit"
{txt}
{com}. label var prlfpp1lb "95% lower limit"
{txt}
{com}. label var prlfpx "State Department * Media"
{txt}
{com}. graph twoway                                          ///
>    (connected prlfpp1 prlfpx,                         ///
>        clcolor(black) clpat(solid) clwidth(medthick)  ///
>            msymbol(i) mcolor(none))                       ///
>    (connected prlfpp1ub prlfpx,                       ///
>            msymbol(i) mcolor(none)                        ///
>        clcolor(black) clpat(dash) clwidth(thin))      ///
>    (connected prlfpp1lb prlfpx,                       ///
>            msymbol(i) mcolor(none)                        ///
>        clcolor(black) clpat(dash) clwidth(thin)),     ///
>         ytitle("Prob of U.S. Humanitarian Military Intervention")  ///
>     yscale(range(0 .10))                              ///
>         ylabel(, grid glwidth(medium) glpattern(solid))   ///
>         xscale(range(0 575))                                ///
>         xlabel(0(57.5)575)
{res}{txt}
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{txt}end of do-file

{com}. exit, clear
